CN114890314A - Fault-tolerant control method for double-pendulum tower crane with online track correction - Google Patents

Fault-tolerant control method for double-pendulum tower crane with online track correction Download PDF

Info

Publication number
CN114890314A
CN114890314A CN202210557566.9A CN202210557566A CN114890314A CN 114890314 A CN114890314 A CN 114890314A CN 202210557566 A CN202210557566 A CN 202210557566A CN 114890314 A CN114890314 A CN 114890314A
Authority
CN
China
Prior art keywords
double
fault
tower crane
pendulum
online
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210557566.9A
Other languages
Chinese (zh)
Other versions
CN114890314B (en
Inventor
欧阳慧珉
孙政
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Tech University
Original Assignee
Nanjing Tech University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Tech University filed Critical Nanjing Tech University
Priority to CN202210557566.9A priority Critical patent/CN114890314B/en
Publication of CN114890314A publication Critical patent/CN114890314A/en
Application granted granted Critical
Publication of CN114890314B publication Critical patent/CN114890314B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C13/00Other constructional features or details
    • B66C13/18Control systems or devices
    • B66C13/22Control systems or devices for electric drives
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C13/00Other constructional features or details
    • B66C13/04Auxiliary devices for controlling movements of suspended loads, or preventing cable slack
    • B66C13/06Auxiliary devices for controlling movements of suspended loads, or preventing cable slack for minimising or preventing longitudinal or transverse swinging of loads
    • B66C13/063Auxiliary devices for controlling movements of suspended loads, or preventing cable slack for minimising or preventing longitudinal or transverse swinging of loads electrical
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C15/00Safety gear
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/17Mechanical parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Mechanical Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Jib Cranes (AREA)

Abstract

The invention discloses a fault-tolerant control method of a double-pendulum tower crane with online track correction, which comprises the following steps: establishing a double-pendulum tower crane model based on a Lagrange kinetic equation; linearly analyzing an under-actuated part of the double-pendulum tower crane model to establish an online correction track; coupling the original S-shaped track with the online correction track to restrain load swing; the invention can solve the problem of crane positioning anti-swing under complex working conditions; under-actuated parts are separated from a double-pendulum tower crane model in a normal state and analyzed, an online correction track with adjustable gain is designed through the internal coupling relation, and the online correction track is coupled to the original S-shaped track to inhibit swinging; a nonlinear observer is arranged in a fault state, possible disturbance and fault of the system are observed, and feedforward compensation is carried out in a fault-tolerant controller; and adding a self-adaptive sign function to be activated to inhibit observation errors and further improve the system stability.

Description

Fault-tolerant control method for double-pendulum tower crane with online track correction
Technical Field
The invention relates to the technical field of motion control of double-pendulum tower cranes, in particular to a fault-tolerant control method of a double-pendulum tower crane with online track correction.
Background
Under-actuated systems, i.e., systems in which the system inputs fewer degrees of freedom than the system. The conventional under-actuated crane positioning and anti-swing control is mainly aimed at a bridge crane system, and even if the bridge crane moves in a three-dimensional space and has multiple degrees of freedom, the dynamic property of a driving mechanism still belongs to linear force, the dynamic characteristic is still simple, and the control is convenient. The crane system is a typical under-actuated system, takes cantilever rotating force and trolley running force as input, takes the angle of a load and a lifting hook as indirect control force, and has the advantages of simple structure, low power consumption, few actuating mechanisms, wide application range and the like.
The tower crane is a crane for transporting goods in space, and the transportation process of the tower crane is usually accompanied by two motions with different properties, wherein one direction is the translation force of a trolley, the other direction is the rotation force of a cantilever, and high coupling exists, so that the difficulty of designing a dynamic model and a controller is increased. Secondly, when the hook and the load mass are similar, or the lifting rope and the suspension rope are similar in length, the double-pendulum characteristic of the tower crane is obvious.
In addition, compared to a simple mass point double pendulum system, due to the different load volumes, the distributed mass load may rotate and translate during the swinging process, so that the controller designed for mass distributed loads with single or double pendulum may be disabled. For conventional controllers, on the one hand, they have poor coupling between the drivable and the non-drivable mechanisms, resulting in that usually only positioning can be achieved, but the wobble suppression effect is poor; on the other hand, most controllers use an adjustment control mode for a target position due to a complicated design process, but the adjustment control can generate a very large initial output value of the controller in practical application, so that inevitable initial fluctuation is caused, the service life of a driver is damaged, and the anti-oscillation effect is influenced.
Moreover, in long-term operation, the misoperation of workers can also cause the failure of the actuator and the inevitable external disturbance. The rapid suppression of the swinging of the hook and the load becomes a very challenging problem while achieving the accurate positioning of the cantilever and the trolley.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
In order to solve the above technical problems, the present invention provides the following technical solutions, including: establishing a double-pendulum tower crane model based on a Lagrange kinetic equation; linearly analyzing an under-actuated part of the double-pendulum tower crane model to establish an online correction track; and coupling the original S-shaped track with the online correction track to restrain the load swing.
As a preferred embodiment of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction, the model of the double-pendulum tower crane includes:
Figure BDA0003652781830000021
G(q)=[0 0(m 1 +m 2 )gl 1 C 2 S 1 (m 1 +m 2 )gl 1 C 1 S 2 m 2 gl 2 C 4 S 3 m 2 gl 2 C 3 S 4 ] T
Figure BDA00036527818300000219
Figure BDA00036527818300000218
Figure BDA0003652781830000022
wherein ,
Figure BDA0003652781830000023
Figure BDA0003652781830000024
i=1,…,4
Figure BDA0003652781830000025
Figure BDA0003652781830000026
wherein q is a system state variable of the double-pendulum tower crane,
Figure BDA0003652781830000027
is the first derivative of q and is,
Figure BDA0003652781830000028
is the second derivative of q, M (q) is the inertia matrix of the double pendulum tower crane system,
Figure BDA0003652781830000029
is a centripetal-Coriolis matrix, G (q) is a gravity vector, U is a control input vector, F s and Fa Mechanical friction and wind resistance, m, of double pendulum tower crane systems 1 And m 2 Mass of hook and load, respectively, /) 1 And l 2 The lengths from the suspension rope and the lifting hook to the center of mass of the load respectively, g is the gravity acceleration,
Figure BDA00036527818300000210
is cantilever rotation angle, xFor the trolley translation distance, theta i Is the swing angle between the lifting hook and the load,
Figure BDA00036527818300000211
for cantilever drive torque, F x Is the driving force of the trolley,
Figure BDA00036527818300000212
and
Figure BDA00036527818300000213
for the fault parameters of the potential fault signal in the boom and trolley directions,
Figure BDA00036527818300000214
k hx and μx In order to be a parameter of a fault,
Figure BDA00036527818300000215
and Fx Is used as the driving force of the system,
Figure BDA00036527818300000216
and
Figure BDA00036527818300000217
is a fault signal.
As a preferable scheme of the fault-tolerant control method for the double-pendulum tower crane with online trajectory correction, a friction feedforward compensation model is established to eliminate the friction generated by the driving mechanism of the double-pendulum tower crane model:
the mechanical and air friction of the cantilever is:
Figure BDA0003652781830000031
the mechanical friction and air friction of the trolley are as follows:
Figure BDA0003652781830000032
wherein ,
Figure BDA0003652781830000033
f x1 、f x2 、ε 1 and ε2 For the parameters of the friction feed-forward compensation model,
Figure BDA0003652781830000034
and fx1 The value of (c) corresponds to the maximum static friction force, ε 1 and ε2 In order to obtain a static coefficient of friction,
Figure BDA0003652781830000035
and dx Is an air friction parameter.
As a preferable aspect of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the under-actuated part of the model of the double-pendulum tower crane includes:
Figure BDA0003652781830000036
Figure BDA0003652781830000037
Figure BDA0003652781830000038
Figure BDA0003652781830000039
wherein ,xd Indicating the target position,/ b Indicating the length of the beam.
As a preferred embodiment of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the original S-shaped trajectory includes:
Figure BDA00036527818300000310
wherein ,
Figure BDA00036527818300000311
indicating the angle of rotation of the cantilever
Figure BDA00036527818300000312
Or the trolley is translated over a distance x,
Figure BDA00036527818300000313
and
Figure BDA00036527818300000319
respectively the target angle or position, the initial angle or position and the arrival time of the boom and the trolley,
Figure BDA00036527818300000314
to represent
Figure BDA00036527818300000315
Or x target position.
As a preferable scheme of the fault-tolerant control method for the double-pendulum tower crane with online track correction, the online track correction includes:
Figure BDA00036527818300000316
Figure BDA00036527818300000317
wherein :
Figure BDA00036527818300000318
and xr Is the original S-shaped track, k 5 and k6 Is an adjustable parameter.
As a preferable solution of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the double-pendulum tower crane model further includes:
establishing a nonlinear observer to observe internal disturbance and faults of the double-pendulum tower crane model;
and establishing a fault-tolerant controller, and performing feedforward compensation on the disturbance and the fault observed by the nonlinear observer to the fault-tolerant controller so as to improve the stability of the double-pendulum tower crane model.
As a preferable solution of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the nonlinear observer includes:
Figure BDA0003652781830000041
wherein ,
Figure BDA0003652781830000042
e 1 =S 1_i -q u
e 2 =S 2_i
wherein ,S2_i For post-model-conversion disturbance and fault integration terms, q u The system state quantity after model conversion, upsilon, is the relevant item of model conversion,
Figure BDA0003652781830000043
for the output of the system after model transformation, the disturbance change related term after transformation of the gamma model, k 1 、k 2
Figure BDA0003652781830000044
Is an adjustable parameter.
As a preferable solution of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the fault-tolerant controller includes a linear sliding mode surface:
Figure BDA0003652781830000045
Figure BDA0003652781830000046
Figure BDA0003652781830000047
Figure BDA0003652781830000048
wherein ,
Figure BDA0003652781830000049
e x =x-x n
Figure BDA00036527818300000410
Figure BDA00036527818300000411
Figure BDA0003652781830000051
wherein ,
Figure BDA0003652781830000052
λ x
Figure BDA0003652781830000053
k px 、k dx and px In order to be able to adjust the gain,
Figure BDA0003652781830000054
and
Figure BDA0003652781830000055
in order to observe the parameters of the fault,
Figure BDA0003652781830000056
and kx0 In order to be able to adjust the gain,
Figure BDA0003652781830000057
and
Figure BDA0003652781830000058
is an adaptive gain.
As a preferable solution of the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the present invention, the fault-tolerant controller further includes:
the above-mentioned
Figure BDA0003652781830000059
And
Figure BDA00036527818300000510
for the adaptive sign function to be activated, observation errors can be suppressed.
The invention has the beneficial effects that: the invention can solve the problem of crane positioning anti-swing under complex working conditions such as actuator failure, system uncertainty, friction and external disturbance. Under a normal state, an under-actuated part is separated from a double-pendulum tower crane model and analyzed, a Lyapunov function is designed, an online correction track with adjustable gain is designed through an internal coupling relation, and the online correction track is coupled to an original S-shaped track, so that swinging can be effectively inhibited. Under the fault state, such as actuator fault, system uncertainty, friction and external disturbance state, a non-linear observer is designed for observing possible disturbance and fault of the system and performing feedforward compensation in a fault-tolerant controller. Further considering the possible error of the observation system, the adaptive sign function to be activated is designed to effectively restrain the observation error and improve the operation stability of the whole system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
FIG. 1 is a schematic overall control flow diagram of a fault-tolerant control method for a double-pendulum tower crane with online trajectory modification according to a first embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a mathematical model of a double-pendulum tower crane with an online trajectory correction fault-tolerant control method for the double-pendulum tower crane according to a first embodiment of the present invention;
fig. 3 is a schematic diagram of an experimental result of a controller LQR in a normal state of a fault-tolerant control method for a double-pendulum tower crane with online track correction according to a first embodiment of the present invention;
fig. 4 is a schematic diagram of an experimental result of a controller LQR in a fault state of a fault-tolerant control method for a double-pendulum tower crane with online track correction according to a first embodiment of the present invention;
FIG. 5 is a diagram illustrating experimental results of a controller in a normal state according to a fault-tolerant control method for a double-pendulum tower crane with online trajectory modification according to a first embodiment of the present invention;
FIG. 6 is a schematic diagram showing the experimental results of a controller in a fault state according to the fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to the first embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating experimental results of observation error suppression of a controller in a fault state according to a fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to a first embodiment of the present invention;
fig. 8 is a schematic diagram of an experimental platform of a fault-tolerant control method for a double-pendulum tower crane with online trajectory correction according to a first embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 2, a first embodiment of the present invention provides a fault-tolerant control method for a double-pendulum tower crane with online trajectory correction, including:
s1: and establishing a double-pendulum tower crane model based on a Lagrange kinetic equation.
The double-pendulum tower crane model comprises:
Figure BDA0003652781830000071
G(q)=[0 0(m 1 +m 2 )gl 1 C 2 S 1 (m 1 +m 2 )gl 1 C 1 S 2 m 2 gl 2 C 4 S 3 m 2 gl 2 C 3 S 4 ] T
Figure BDA0003652781830000072
Figure BDA0003652781830000073
Figure BDA0003652781830000074
wherein ,
Figure BDA0003652781830000075
Figure BDA0003652781830000076
i=1,…,4
Figure BDA0003652781830000077
Figure BDA0003652781830000078
wherein q is a double-pendulum tower crane model state variable,
Figure BDA0003652781830000079
is the first derivative of q and is,
Figure BDA00036527818300000710
is the second derivative of q, M (q) is the inertia matrix of the double pendulum tower crane system,
Figure BDA00036527818300000711
is a centripetal-Coriolis matrix, G (q) is a gravity vector, U is a control input vector, F s and Fa Mechanical friction and wind resistance, m, of double pendulum tower crane systems 1 And m 2 Mass of hook and load, respectively, /) 1 And l 2 The lengths from the suspension rope and the lifting hook to the center of mass of the load respectively, g is the gravity acceleration,
Figure BDA00036527818300000712
is cantilever rotation angle, and x is trolley translation distanceAway, theta i Is the swing angle between the lifting hook and the load,
Figure BDA00036527818300000713
for cantilever drive torque, F x Is the driving force of the trolley,
Figure BDA00036527818300000714
and
Figure BDA00036527818300000715
for the fault parameters of the potential fault signal in the boom and trolley directions,
Figure BDA00036527818300000716
k hx and μx In order to be a parameter of a fault,
Figure BDA00036527818300000717
and Fx Is used as the driving force of the system,
Figure BDA00036527818300000718
and
Figure BDA00036527818300000719
is a fault signal.
Specifically, the inertia matrix and the partition matrix of the double-pendulum tower crane model are as follows:
Figure BDA0003652781830000081
m 11 =J+m 1 x 2 +m 2 x 2 +m t x 2 +l 1 2 m 1 +l 1 2 m 2 +l 2 2 m 2 -l 1 2 m 1 C 1 2 C 2 2 -l 1 2 m 2 C 1 2 C 2 2 -l 2 2 m 2 C 3 2 C 4 2 +2l 1 m 1 xC 2 S 1 +2l 1 m 2 xC 2 S 1 +2l 2 m 2 xC 4 S 3 +2l 1 l 2 m 2 S 2 S 4 +2l 1 l 2 m 2 C 2 C 4 S 1 S 3
m 12 =l 1 m 1 S 2 +l 1 m 2 S 2 +l 2 m 2 S 4
m 13 =l 1 2 m 1 C 1 C 2 S 2 +l 1 2 m 2 C 1 C 2 S 2 +l 1 l 2 m 2 C 1 C 2 S 4
m 14 =-l 1 2 m 1 S 1 -l 1 2 m 2 S 1 -l 1 m 1 xC 2 -l 1 m 2 xC 2 -l 1 l 2 m 2 C 2 C 4 S 3 -l 1 l 2 m 2 S 1 S 2 S 4
m 15 =l 2 2 m 2 C 3 C 4 S 4 +l 1 l 2 m 2 C 3 C 4 S 2
m 16 =-l 2 2 m 2 S 3 -l 2 m 2 xC 4 -l 1 l 2 m 2 S 2 S 3 S 4 -l 1 l 2 m 2 C 2 C 4 S 1
m 21 =l 1 m 1 S 2 +l 1 m 2 S 2 +l 2 m 2 S 4
m 22 =m 1 +m 2 +m t
m 23 =l 1 m 1 C 1 C 2 +l 1 m 2 C 1 C 2
m 24 =-l 1 m 1 S 1 S 2 -l 1 m 2 S 1 S 2
m 25 =l 2 m 2 C 3 C 4
m 26 =-l 2 m 2 S 3 S 4
m 31 =l 1 2 m 1 C 1 C 2 S 2 +l 1 2 m 2 C 1 C 2 S 2 +l 1 l 2 m 2 C 1 C 2 S 4
m 32 =l 1 m 1 C 1 C 2 +l 1 m 2 C 1 C 2
m 33 =l 1 2 m 1 C 2 2 +l 1 2 m 2 C 2 2
m 34 =0
m 35 =l 1 l 2 m 2 C 2 C 4 S 1 S 3 +l 1 l 2 m 2 C 1 C 2 C 3 C 4
m 36 =-l 1 l 2 m 2 C 1 C 2 S 3 S 4 +l 1 l 2 m 2 C 2 C 3 S 1 S 4
m 41 =-l 1 2 m 1 S 1 -l 1 2 m 2 S 1 -l 1 m 1 xC 2 -l 1 m 2 xC 2 -l 1 l 2 m 2 C 2 C 4 S 3 -l 1 l 2 m 2 S 1 S 2 S 4
m 42 =-l 1 m 1 S 1 S 2 -l 1 m 2 S 1 S 2
m 43 =0
m 44 =l 1 2 m 1 +l 1 2 m 2
m 45 =l 1 l 2 m 2 C 1 C 4 S 2 S 3 -l 1 l 2 m 2 C 3 C 4 S 1 S 2
m 46 =l 1 l 2 m 2 C 2 C 4 +l 1 l 2 m 2 C 1 C 3 S 2 S 4 +l 1 l 2 m 2 S 1 S 2 S 3 S 4
m 51 =l 2 2 m 2 C 3 C 4 S 4 +l 1 l 2 m 2 C 3 C 4 S 2
m 52 =l 2 m 2 C 3 C 4
m 53 =l 1 l 2 m 2 C 1 C 2 C 3 C 4 +l 1 l 2 m 2 C 2 C 4 S 1 S 3
m 54 =l 1 l 2 m 2 C 1 C 4 S 2 S 3 -l 1 l 2 m 2 C 3 C 4 S 1 S 2
m 55 =l b 2 m 2 /12+l 2 2 m 2 C 4 2
m 56 =0
m 61 =-l 2 m 2 xC 4 -l 2 2 m 2 S 3 -l 1 l 2 m 2 C 2 C 4 S 1 -l 1 l 2 m 2 S 2 S 3 S 4
m 62 =-l 2 m 2 S 3 S 4
m 63 =-l 1 l 2 m 2 C 1 C 2 S 3 S 4 +l 1 l 2 m 2 C 2 C 3 S 1 S 4
m 64 =l 1 l 2 m 2 C 2 C 4 +l 1 l 2 m 2 C 1 C 3 S 2 S 4 +l 1 l 2 m 2 S 1 S 2 S 3 S 4
m 65 =0
m 66 =m 2 l 2 2
wherein ,mij Indicating matrix coordinates, i 1, 2 … 6, j 1, 2 … 6.
Centripetal coriolis matrix
Figure BDA0003652781830000091
The following were used:
Figure BDA0003652781830000092
Figure BDA0003652781830000093
Figure BDA0003652781830000094
Figure BDA0003652781830000095
Figure BDA0003652781830000096
Figure BDA0003652781830000097
Figure BDA0003652781830000098
Figure BDA0003652781830000099
c 22 =0
Figure BDA00036527818300000910
Figure BDA00036527818300000911
Figure BDA00036527818300000912
Figure BDA00036527818300000913
Figure BDA00036527818300000914
c 32 =0
Figure BDA0003652781830000101
Figure BDA0003652781830000102
Figure BDA0003652781830000103
Figure BDA0003652781830000104
Figure BDA0003652781830000105
Figure BDA0003652781830000106
Figure BDA0003652781830000107
c 44 =0
Figure BDA0003652781830000108
Figure BDA0003652781830000109
Figure BDA00036527818300001010
c 52 =0
Figure BDA00036527818300001011
Figure BDA00036527818300001012
Figure BDA00036527818300001013
Figure BDA00036527818300001014
Figure BDA00036527818300001015
Figure BDA00036527818300001016
Figure BDA00036527818300001017
Figure BDA00036527818300001018
Figure BDA00036527818300001019
c 66 =0
wherein cij Indicating matrix coordinates, i 1, 2 … 6, j 1, 2 … 6.
Establishing a friction feedforward compensation model to eliminate the friction generated by a driving mechanism of the double-pendulum tower crane model:
the mechanical and air friction of the cantilever is:
Figure BDA00036527818300001020
the mechanical friction and air friction of the trolley are as follows:
Figure BDA0003652781830000111
wherein ,
Figure BDA0003652781830000112
f x1 、f x2 、ε 1 and ε2 For the parameters of the friction feed-forward compensation model,
Figure BDA0003652781830000113
and fx1 The value of (c) corresponds to the maximum static friction force, ε 1 and ε2 In order to obtain a static coefficient of friction,
Figure BDA0003652781830000114
and dx Is an air friction parameter.
It should be noted that the swing characteristic of the double-pendulum system and the rod translation characteristic of the load of the double-pendulum tower crane model are analyzed to find the underactuated portion of the double-pendulum tower crane model.
The under-actuated portion of the double-pendulum tower crane model includes:
Figure BDA0003652781830000115
Figure BDA0003652781830000116
Figure BDA0003652781830000117
Figure BDA0003652781830000118
wherein ,xd Indicating the target position,/ b Indicating the length of the beam.
It should be noted that the original system is divided into a driving part and an under-driving part as follows:
Figure BDA0003652781830000119
Figure BDA00036527818300001110
wherein the original M (q) is,
Figure BDA00036527818300001111
G(q)、U、F s 、F a And q is divided in the form as above, namely: m 11 ∈R 2 ×2 ,M 12 ∈R 2×4 ,M 21 ∈R 4×2 ,M 22 ∈R 4×4 ,C 11 ∈R 2×2 ,C 12 ∈R 2×4 ,C 21 ∈R 4×2 ,C 22 ∈R 4×4 ,G 1 ∈R 2 ,G 2 ∈R 4 ,U 1 ∈R 2 ,U 2 ∈R 4 ,F s1 ∈R 2 ,F s2 ∈R 4 ,F 1 ∈R 2 ,F 2 ∈R 4
Figure BDA00036527818300001112
q b =[θ 1 θ 2 θ 3 θ 4 ] T
Then consider the under-driven part | M 22 | ≠ 0, which can be rewritten as:
Figure BDA00036527818300001113
after bringing it into the drive section:
Figure BDA00036527818300001114
wherein ,
Figure BDA00036527818300001115
Figure BDA00036527818300001116
Figure BDA00036527818300001117
Figure BDA00036527818300001118
and because of
Figure BDA0003652781830000121
Figure BDA0003652781830000122
Reissue to order
Figure BDA0003652781830000123
It can be found that:
Figure BDA0003652781830000124
Figure BDA0003652781830000125
and establishing a non-linear observer to observe internal disturbance and faults of the double-pendulum tower crane model.
The non-linear observer includes:
Figure BDA0003652781830000126
wherein ,
Figure BDA0003652781830000127
e 1 =S 1_i -q u
e 2 =S 2_i
wherein ,S2_i For post-model-conversion disturbance and fault integration terms, q u The system state quantity after model conversion, upsilon, is the relevant item of model conversion,
Figure BDA0003652781830000128
for the output of the system after model transformation, the disturbance change related term after transformation of the gamma model, k 1 、k 2
Figure BDA0003652781830000129
Is an adjustable parameter.
And establishing a fault-tolerant controller, and performing feedforward compensation on the disturbance and the fault observed by the nonlinear observer to the fault-tolerant controller so as to improve the stability of the double-pendulum tower crane model.
It should be noted that the fault tolerant controller is designed to linearize the model driven part for the observed errors as follows:
Figure BDA00036527818300001210
Figure BDA00036527818300001211
wherein ,J1 Is moment of inertia, m 0 As trolley mass, x n Target position and x after track correction d And (5) the consistency is achieved.
The above equation is transformed:
Figure BDA00036527818300001212
Figure BDA00036527818300001213
wherein ,
Figure BDA0003652781830000131
Figure BDA0003652781830000132
the error system is derived as follows:
Figure BDA0003652781830000133
Figure BDA0003652781830000134
wherein ,
Figure BDA0003652781830000135
Figure BDA0003652781830000136
|H x |≤P x
the fault tolerant controller comprises a linear sliding mode surface:
Figure BDA0003652781830000137
Figure BDA0003652781830000138
Figure BDA0003652781830000139
Figure BDA00036527818300001310
wherein ,
Figure BDA00036527818300001311
e x =x-x n
Figure BDA00036527818300001312
Figure BDA00036527818300001313
Figure BDA00036527818300001314
wherein ,
Figure BDA00036527818300001315
λ x
Figure BDA00036527818300001316
k px 、k dx and px In order to be able to adjust the gain,
Figure BDA00036527818300001317
and
Figure BDA00036527818300001318
in order to observe the parameters of the fault,
Figure BDA00036527818300001319
and kx0 In order to be able to adjust the gain,
Figure BDA00036527818300001320
and
Figure BDA00036527818300001321
is an adaptive gain.
Figure BDA00036527818300001322
And
Figure BDA00036527818300001323
for the adaptive sign function to be activated, observation errors can be suppressed.
It should be noted that in the case of actuator faults and external disturbances, a non-linear observer is first designed to observe the internal disturbances of the system and faults, and then a fault-tolerant controller is used for suppression. The nonlinear observer only needs to observe the fault and disturbance of the original system, and the fault-tolerant controller is conveniently and pertinently designed. In addition, considering the possible observation error of the observation system, the adaptive sign function to be activated is designed to inhibit the observation error, so that the stability of the system is further improved, and the system can still ensure stable operation even if the observer has an error.
S2: and linearly analyzing an under-actuated part of the double-pendulum tower crane model to establish an online correction track.
The original S-shaped trajectory includes:
Figure BDA0003652781830000141
wherein ,
Figure BDA0003652781830000142
indicating the angle of rotation of the cantilever
Figure BDA0003652781830000143
Or the trolley is translated over a distance x,
Figure BDA0003652781830000144
and
Figure BDA00036527818300001411
respectively the target angle or position, the initial angle or position and the arrival time of the boom and the trolley,
Figure BDA0003652781830000145
to represent
Figure BDA0003652781830000146
Or x target position.
It should be noted that the original S-type track is derived from the existing paper Aneficient online track generating method for indirect create systems.
The on-line track correction comprises the following steps:
Figure BDA0003652781830000147
Figure BDA0003652781830000148
wherein :
Figure BDA0003652781830000149
and xr Is the original S-shaped track, k 5 and k6 Is an adjustable parameter.
Specifically, the following lyapunov equation is designed based on the under-actuated part function of the double-pendulum tower crane model following the dynamics rule of the tower crane model:
Figure BDA00036527818300001410
wherein ,k3 and k4 Is a positive parameter.
Using the basic inequality, one can derive:
Figure BDA0003652781830000151
wherein ,
Figure BDA0003652781830000152
can obtain V 1 And (4) positive determination.
P-Lyapunov equation V 1 The derivation is carried out to obtain:
Figure BDA0003652781830000153
wherein ,
Figure BDA0003652781830000154
and then scaling to obtain:
Figure BDA0003652781830000155
multiplying the formulas in the under-actuated part by the formulas respectively
Figure BDA0003652781830000156
And
Figure BDA0003652781830000157
Figure BDA0003652781830000158
Figure BDA0003652781830000159
substituting the formula obtained by scaling to obtain:
Figure BDA0003652781830000161
can obtain the product
Figure BDA0003652781830000162
And
Figure BDA0003652781830000163
and embedding the second integral into the original S-shaped track to obtain an online correction track.
It should be noted that, the invention designs an online correction track aiming at the normal running condition, and restrains the swing of the crane in the positioning completion process; the method is easy to realize, and the load swing item with adjustable gain is coupled on the original S-shaped track.
S3: the original S-shaped track is coupled with the online correction track to restrain the load swing.
Example 2
Referring to fig. 3 to 7, in order to verify and explain the technical effects adopted in the method, the present embodiment performs a simulation experiment on the method to verify the real effects of the method.
An experiment platform is built in the embodiment and comprises a PC (personal computer), a control board card, a servo motor driver, a trolley, a cantilever, a swing angle measuring mechanism and the like. On the aspect of an upper computer, codes are generated through MATLAB/Simulink compiling, then a control board (DSP) is used, the sampling period is 0.005s, experimental data on the control board are monitored and recorded in real time through serial port communication, and position signals of a driving part come from counting of the encoder; the load/hook swing angle information comes from the contact type potentiometer sensor mechanism, the voltage signal of the contact type potentiometer sensor mechanism is transmitted to the control panel through the A/D converter, and for the output of the controller, the control panel generates a designed voltage signal to the motor driver through the D/A converter to drive the servo motor to operate.
Setting parameters:
Figure BDA0003652781830000164
k px =150,k dx =18,k x0 =4,p x =0.6,
Figure BDA0003652781830000165
λ x =1,k 1 =diag[1 1],k 2 =diag[200 200],k 3 =0.1,k 4 =0.1,k 5 =-0.6,k 6 =0.7,
Figure BDA0003652781830000166
f x1 =0.5,f x2 =0.5,ε 1 =0.001,ε 2 =0.001,
Figure BDA0003652781830000167
d x =0.6,
Figure BDA0003652781830000168
k hx =0.6,
Figure BDA0003652781830000169
μ x =0.1,
Figure BDA00036527818300001610
the controller LQR and the controller using the control method are used for carrying out experiments, and the control formula of the controller LQR is as follows:
Figure BDA00036527818300001611
Figure BDA0003652781830000171
for LQR controllers, the state vector
Figure BDA0003652781830000172
And Q matrix and R matrix are set to Q ═ diag {200,100,20,20,20,20,5,5,5,5, 5}, and R ═ 1,1] T Finally, the gain of the controller is k 11 =56.6,k 12 =14.5,k 13 =8.9,k 14 =3.4,k 15 =-2.5,k 16 =-1.1,k 21 =40.0,k 22 =9.2,k 23 =-19.1,k 24 =-0.9,k 25 =13.3,k 26 =0.80。
The amplitude of the method used by the method and the method used by the LQR controller are calculated by utilizing the experimental platform constructed as described above, and as can be seen by referring to FIGS. 3 and 5, under the condition that the positioning time is basically the same, the controller can completely track the target track and realize the positioning function, and the LQR controller is in the position
Figure BDA0003652781830000173
The direction can not realize the positioning, the tracking and positioning process of the method is smooth, the positioning task can be completed within 3 seconds, and the amplitude of a lifting hook and a load caused by a controller of the method is not large and can not exceed 1.15[ deg ] in the aspect of swing inhibition]And the amplitude of the hook and the load caused by the traditional LQR method controller is too large, and is not lower than 1[ deg ]]And up to approximately 1.7[ deg. ]]And the swing of the method can be completely eliminated within 2-4 seconds after the positioning of the driving mechanism is finished, but the traditional method has a poor suppression effect, and the swing still remains after the driving mechanism is subjected to repeated violent oscillation until 15 seconds, so that the swing suppression efficiency of the method is extremely high, the positioning is accurate, and no overshoot and no steady-state error exist. Referring to fig. 4 and 6, when a crane system fails, it can be seen that the LQR controller cannot overcome the system failure, which results in a large swing and fails to implement a positioning function. Finally, fig. 7 shows that when an error occurs in the observation system, the adaptive term is activated to suppress the disturbance and improve the overall stability of the system.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.

Claims (10)

1. A fault-tolerant control method for a double-pendulum tower crane with online track correction is characterized by comprising the following steps:
establishing a double-pendulum tower crane model based on a Lagrange kinetic equation;
linearly analyzing an under-actuated part of the double-pendulum tower crane model to establish an online correction track;
and coupling the original S-shaped track with the online correction track to restrain the load swing.
2. The fault-tolerant control method for the double-pendulum tower crane with the online track correction as claimed in claim 1, wherein the double-pendulum tower crane model comprises:
Figure FDA0003652781820000011
G(q)=[0 0(m 1 +m 2 )gl 1 C 2 S 1 (m 1 +m 2 )gl 1 C 1 S 2 m 2 gl 2 C 4 S 3 m 2 gl 2 C 3 S 4 ] T
Figure FDA0003652781820000012
Figure FDA0003652781820000013
Figure FDA0003652781820000014
wherein ,
Figure FDA0003652781820000015
Figure FDA0003652781820000016
i=1,…,4
Figure FDA0003652781820000017
F x a =k hx F xx F x a
wherein q is a system state variable of the double-pendulum tower crane,
Figure FDA0003652781820000018
is the first derivative of q and is,
Figure FDA0003652781820000019
is the second derivative of q, M (q) is the inertia matrix of the double pendulum tower crane system,
Figure FDA00036527818200000110
is a centripetal-Coriolis matrix, G (q) is a gravity vector, U is a control input vector, F s and Fa Mechanical friction and wind resistance, m, of double pendulum tower crane systems 1 And m 2 Mass of hook and load, respectively, /) 1 And l 2 The lengths from the suspension rope and the lifting hook to the center of mass of the load respectively, g is the gravity acceleration,
Figure FDA00036527818200000111
is the cantilever rotation angle, x is the trolley translation distance, theta i Is the swing angle between the lifting hook and the load,
Figure FDA00036527818200000112
for cantilever drive torque, F x Is the driving force of the trolley,
Figure FDA00036527818200000117
and
Figure FDA00036527818200000118
for the fault parameters of the potential fault signal in the boom and trolley directions,
Figure FDA00036527818200000113
k hx and μx In order to be a parameter of a fault,
Figure FDA00036527818200000114
and Fx Is used as the driving force of the system,
Figure FDA00036527818200000115
and
Figure FDA00036527818200000116
is a fault signal.
3. The fault-tolerant control method for the double-pendulum tower crane with the online trajectory correction as claimed in claim 2, characterized in that a friction feedforward compensation model is established to eliminate the friction generated by the driving mechanism of the double-pendulum tower crane model:
the mechanical and air friction of the cantilever is:
Figure FDA0003652781820000021
the mechanical friction and air friction of the trolley are as follows:
Figure FDA0003652781820000022
wherein ,
Figure FDA0003652781820000023
f x1 、f x2 、ε 1 and ε2 For the parameters of the friction feed-forward compensation model,
Figure FDA0003652781820000024
and
Figure FDA0003652781820000025
the value of (c) corresponds to the maximum static friction force, ε 1 and ε2 In order to obtain a static coefficient of friction,
Figure FDA0003652781820000026
and dx Is an air friction parameter.
4. The fault-tolerant control method for the double-pendulum tower crane with the online trajectory correction as claimed in claim 2, wherein the under-actuated part of the model of the double-pendulum tower crane comprises:
Figure FDA0003652781820000027
Figure FDA0003652781820000028
Figure FDA0003652781820000029
Figure FDA00036527818200000210
wherein ,xd Indicating the target position,/ b Indicating the length of the beam.
5. The fault-tolerant control method for the double-pendulum tower crane with the online track correction as claimed in claim 1, wherein the original S-shaped track comprises:
Figure FDA00036527818200000211
wherein l represents the cantilever rotation angle
Figure FDA00036527818200000212
Or trolley translation distance x, l d 、l 0 and td Target angle or position, initial angle or position and arrival time, l, of the boom and trolley, respectively r To represent
Figure FDA00036527818200000213
Or x target position.
6. The fault-tolerant control method for the double-pendulum tower crane with the online track correction as claimed in claim 1, wherein the online track correction comprises:
Figure FDA00036527818200000214
Figure FDA00036527818200000215
wherein :
Figure FDA00036527818200000216
and xr Is the original S-shaped track, k 5 and k6 Is an adjustable parameter.
7. The fault-tolerant control method for the double-pendulum tower crane with the online trajectory correction as claimed in claim 2, wherein the double-pendulum tower crane model further comprises:
establishing a nonlinear observer to observe internal disturbance and faults of the double-pendulum tower crane model;
and establishing a fault-tolerant controller, and performing feedforward compensation on the disturbance and the fault observed by the nonlinear observer to the fault-tolerant controller so as to improve the stability of the double-pendulum tower crane model.
8. The fault-tolerant control method for the double-pendulum tower crane with the online trajectory correction as claimed in claim 7, wherein the non-linear observer comprises:
Figure FDA0003652781820000031
wherein ,
Figure FDA0003652781820000032
e 1 =S 1_i -q u
e 2 =S 2_i
wherein ,S2_i For post-model-conversion disturbance and fault integration terms, q u The system state quantity after model conversion, upsilon, is the relevant item of model conversion,
Figure FDA00036527818200000312
for the output of the system after model transformation, the disturbance change related term after transformation of the gamma model, k 1 、k 2
Figure FDA0003652781820000033
Is an adjustable parameter.
9. The method for fault-tolerant control of a double-pendulum tower crane with online trajectory modification according to claim 7, wherein the fault-tolerant controller comprises a linear sliding mode surface:
Figure FDA0003652781820000034
Figure FDA0003652781820000035
Figure FDA0003652781820000036
Figure FDA0003652781820000037
wherein ,
Figure FDA0003652781820000038
e x =x-x x
Figure FDA0003652781820000039
Figure FDA00036527818200000310
Figure FDA00036527818200000311
wherein ,
Figure FDA0003652781820000041
λ x
Figure FDA0003652781820000042
k px 、k dx and px In order to be able to adjust the gain,
Figure FDA0003652781820000043
and
Figure FDA0003652781820000044
in order to observe the parameters of the fault,
Figure FDA0003652781820000045
and kx0 In order to be able to adjust the gain,
Figure FDA0003652781820000046
and
Figure FDA0003652781820000047
is an adaptive gain.
10. The method of claim 9, wherein the fault-tolerant controller further comprises:
the above-mentioned
Figure FDA0003652781820000048
And
Figure FDA0003652781820000049
for the adaptive sign function to be activated, observation errors can be suppressed.
CN202210557566.9A 2022-05-19 2022-05-19 Fault-tolerant control method for double-pendulum tower crane with online track correction Active CN114890314B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210557566.9A CN114890314B (en) 2022-05-19 2022-05-19 Fault-tolerant control method for double-pendulum tower crane with online track correction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210557566.9A CN114890314B (en) 2022-05-19 2022-05-19 Fault-tolerant control method for double-pendulum tower crane with online track correction

Publications (2)

Publication Number Publication Date
CN114890314A true CN114890314A (en) 2022-08-12
CN114890314B CN114890314B (en) 2023-05-16

Family

ID=82723676

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210557566.9A Active CN114890314B (en) 2022-05-19 2022-05-19 Fault-tolerant control method for double-pendulum tower crane with online track correction

Country Status (1)

Country Link
CN (1) CN114890314B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117446670A (en) * 2023-12-25 2024-01-26 泰安市特种设备检验研究院 Automatic control method and system for tower crane based on man-machine co-fusion
CN118239386A (en) * 2024-05-29 2024-06-25 山东鲁能特种设备检验检测有限公司 Crane control method, system, medium, equipment and product

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104192713A (en) * 2014-09-10 2014-12-10 南开大学 Time-optimal bridge crane track planning method based on differential flatness and B-spline
CN108549229A (en) * 2018-04-20 2018-09-18 曲阜师范大学 A kind of overhead crane neural network adaptive controller and its design method
CN108875253A (en) * 2018-07-03 2018-11-23 曲阜师范大学 The terminal sliding mode of drive lacking crane system based on interference observer, which disappears, puts control method and system
CN112875509A (en) * 2021-01-13 2021-06-01 南京工业大学 Positioning and swing eliminating method for under-actuated tower crane with load lifting motion
CN113139249A (en) * 2021-04-19 2021-07-20 南京工业大学 Tower crane track real-time planning method based on feedback anti-swing damping
CN113353799A (en) * 2021-06-08 2021-09-07 南京工业大学 Swing suppression control method for double-pendulum tower crane with distributed mass loads
CN114195009A (en) * 2021-12-07 2022-03-18 武汉科技大学 Anti-swing control method and system of double-swing tower crane based on active disturbance rejection controller

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104192713A (en) * 2014-09-10 2014-12-10 南开大学 Time-optimal bridge crane track planning method based on differential flatness and B-spline
CN108549229A (en) * 2018-04-20 2018-09-18 曲阜师范大学 A kind of overhead crane neural network adaptive controller and its design method
CN108875253A (en) * 2018-07-03 2018-11-23 曲阜师范大学 The terminal sliding mode of drive lacking crane system based on interference observer, which disappears, puts control method and system
CN112875509A (en) * 2021-01-13 2021-06-01 南京工业大学 Positioning and swing eliminating method for under-actuated tower crane with load lifting motion
CN113139249A (en) * 2021-04-19 2021-07-20 南京工业大学 Tower crane track real-time planning method based on feedback anti-swing damping
CN113353799A (en) * 2021-06-08 2021-09-07 南京工业大学 Swing suppression control method for double-pendulum tower crane with distributed mass loads
CN114195009A (en) * 2021-12-07 2022-03-18 武汉科技大学 Anti-swing control method and system of double-swing tower crane based on active disturbance rejection controller

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117446670A (en) * 2023-12-25 2024-01-26 泰安市特种设备检验研究院 Automatic control method and system for tower crane based on man-machine co-fusion
CN117446670B (en) * 2023-12-25 2024-04-26 泰安市特种设备检验研究院 Automatic control method and system for tower crane based on man-machine co-fusion
CN118239386A (en) * 2024-05-29 2024-06-25 山东鲁能特种设备检验检测有限公司 Crane control method, system, medium, equipment and product

Also Published As

Publication number Publication date
CN114890314B (en) 2023-05-16

Similar Documents

Publication Publication Date Title
CN114890314A (en) Fault-tolerant control method for double-pendulum tower crane with online track correction
CN112875509B (en) Positioning and swing eliminating method for under-actuated tower crane with load lifting motion
Akhtaruzzaman et al. Modeling and control of a rotary inverted pendulum using various methods, comparative assessment and result analysis
CN112897338B (en) Under-actuated double-pendulum tower crane track tracking and swing inhibition control method
CN111152225A (en) Uncertain mechanical arm fixed time trajectory tracking control method with input saturation
CN109740240A (en) The tower crane Adaptive Integral sliding mode controller design method and system of hunting of load can be eliminated
CN113353799A (en) Swing suppression control method for double-pendulum tower crane with distributed mass loads
Carusone et al. Experiments in end-effector tracking control for structurally flexible space manipulators
Li et al. Compensated model-free adaptive tracking control scheme for autonomous underwater vehicles via extended state observer
CN102348541A (en) Robot apparatus and control method therefor
CN114890305B (en) Self-adaptive backstepping nonlinear swing inhibition control method for double-swing rotary crane
CN113189877B (en) Anti-swing positioning control method for bridge crane with distributed mass loads
CN113139249A (en) Tower crane track real-time planning method based on feedback anti-swing damping
CN108469269A (en) A kind of resonance point test system of wideband inertial reference stabilized platform
CN111522236B (en) Tracking control method and system for two-stage swinging tower crane system
CN117720012B (en) Crane system model prediction control method and system based on extended Kalman filtering
Spathopoulos* et al. Pendulation control of an offshore crane
CN117163219B (en) Shipborne trestle feedforward fuzzy control method considering constraint between long rods
CN101414156B (en) Dynamic servo control method of under drive mechanical device ACROBOT
CN113119076B (en) Attitude closed-loop feedback control method and system of three-degree-of-freedom parallel mechanism
CN117086884B (en) Control method, device, equipment and medium for rope traction parallel robot
Chen et al. Nonlinear vibration suppression control of underactuated shipboard rotary cranes with spherical pendulum and persistent ship roll disturbances
Fan et al. Active Disturbance Rejection Control Design Using the Optimization Algorithm for a Hydraulic Quadruped Robot
CN114879504B (en) Self-adaptive nonlinear control method of four-degree-of-freedom marine rotary crane
CN113336092A (en) Self-adaptive tracking control method for enhancing anti-swing performance of double-swing three-dimensional bridge crane

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant