CN109725533A - Self-adaptive iterative compensation control method and system - Google Patents

Self-adaptive iterative compensation control method and system Download PDF

Info

Publication number
CN109725533A
CN109725533A CN201811643972.7A CN201811643972A CN109725533A CN 109725533 A CN109725533 A CN 109725533A CN 201811643972 A CN201811643972 A CN 201811643972A CN 109725533 A CN109725533 A CN 109725533A
Authority
CN
China
Prior art keywords
disturbance
rotor
adaptive
controller
compensator
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.)
Pending
Application number
CN201811643972.7A
Other languages
Chinese (zh)
Inventor
欧阳慧珉
吴克辰
张广明
梅磊
邓歆
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 CN201811643972.7A priority Critical patent/CN109725533A/en
Publication of CN109725533A publication Critical patent/CN109725533A/en
Pending legal-status Critical Current

Links

Landscapes

  • Magnetic Bearings And Hydrostatic Bearings (AREA)

Abstract

The invention discloses a self-adaptive iterative compensation control method, which comprises the steps of equating same-frequency disturbance power generated by a rotor system into disturbance current, extracting the error amount of rotor displacement, and compensating disturbance at the output end of a controller for controlling system output through iterative learning of an iterative search disturbance compensator; and meanwhile, the stability of the system is ensured by utilizing the parallel operation of the adaptive iterative learning controller and the compensator. The invention has the beneficial effects that: firstly, the size of disturbance control current required to be compensated is rapidly and accurately calculated through tracking errors, and the stability of a system is ensured; the second is that the compensator and the controller run in parallel, when the compensator needs to compensate and exceed the capacity, the controller can compensate the output of the compensator, and the compensator has certain fault-tolerant capability.

Description

A kind of adaptive iteration compensating control method and system
Technical field
Magnetic bearing system active control technology of the present invention field more particularly to a kind of flywheel energy storage with magnetic bearing from Adapt to iterative compensation control method and system.
Background technique
Energy accumulation device for fly wheel is as a kind of novel energy storage device in recent years, since it is with energy conservation and environmental protection, service life The advantages that long, easy to maintain, energy efficiency is high, has good Research Prospects in the application domain of electric energy energy storage.Due to energy storage capacity Size it is directly proportional to the quadratic sum rotor quality of revolving speed, therefore in the timing of rotor quality one, no matter for applying to power grid Flywheel energy storage system still applies to for the flywheel energy storage system of automobile batteries improve revolving speed then to be to improve its own energy storage energy The major way of power.
Active Magnetic Bearing abbreviation electromagnetic bearing is a kind of novel bearing for making rotor suspension get up with electromagnetic force;It is collection The typical electromechanical integration that electromagnetism, electronic technology, Theory of Automatic Control, computer science, rotor dynamics are integrated produces Product.Electromagnetic bearing makes rotor contactlessly suspend using electromagnetic force, this unique performance makes electromagnetic bearing and tradition Sliding bearing, roller bearing compared with ball bearing, have the advantages that incomparable.
Currently, electromagnetic bearing is also the bearing that can implement active control to rotor uniquely come into operation.Due to processing Precision, the factors such as working environment, rotor there will necessarily be certain sound imbalance at runtime, so as to cause in the geometry of rotor There are certain deviations for the heart and mass center, and then cause rotor oscillation.Unbalance vibration not only influences the precision of magnetic bearings control, and And if rotor stator collision occurs under high-revolving situation, catastrophic consequence will be generated, so rotor oscillation Amplitude controls in the range of a very little;In this context, how to inhibit the vibration of rotor just become one it is popular It studies a question.
Summary of the invention
The purpose of this section is to summarize some aspects of the embodiment of the present invention and briefly introduce some preferable implementations Example.It may do a little simplified or be omitted to avoid our department is made in this section and the description of the application and the title of the invention Point, the purpose of abstract of description and denomination of invention it is fuzzy, and this simplification or omit and cannot be used for limiting the scope of the invention.
In view of above-mentioned existing problem, the present invention is proposed.
Therefore, a purpose of the invention is to provide a kind of control method of adaptive iteration compensation, by designing a kind of base In the iterated search compensator of given position and physical location difference, to realize at a relatively high speed with degree of precision to disturbance Compensation, remaining disturbance and the processing of X factor are completed by adaptive iterative learning control device.
In order to solve the above technical problems, the invention provides the following technical scheme: a kind of adaptive iteration compensating control method, Same frequency perturbed force including generating rotor-support-foundation system is equivalent at current perturbation, extracts the margin of error of rotor displacement, is searched by iteration The iterative learning for seeking disturbance compensation device compensates disturbance in the output end of the controller exported for control system;And simultaneously Using adaptive iterative learning control device and compensator parallel running, guarantee the stability of system.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: specifically further include Following steps establish the kinetic model of the magnetic bearing comprising out-of-balance force disturbance;According to the kinetic model, builds and include The closed-loop control system of iterated search disturbance compensation device and magnetic suspension controller, wherein the magnetic suspension controller includes adaptive Iterative learning controller and PID controller;The iterated search disturbance compensation device design, moves to left and perturbed force including perturbed force It searches, by introducing the difference of target position and physical location, after calculating current perturbation, by directly applying one in current terminal The opposite signal of a amplitude is overlapped with it to be compensated;Utilize iterated search disturbance compensation device and the adaptive iteration Controller parallel operation is practised, the disturbance of system is effectively inhibited and guarantees system stable operation.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: according to considering The unbalanced presence of sound, therefore perturbed force and disturbing moment indicate are as follows:
Fex=me ω2cos(ωt+φ)
Fey=me ω2sin(ωt+φ)
Mεx=(Jx-Jz)εω2cos(ωt+φ)
Mεy=(Jy-Jz)εω2sin(ωt+φ)
Parameter ω indicates that the revolving speed of magnetic bearing rotor, parameter e indicate spindle eccentricity away from parameter ε is indicated by torque in above formula Caused inclination angle, angle of unbalance caused by φ indicates uneven.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: by the disturbance Power and disturbing moment, it is known that the kinetic model comprising out-of-balance force disturbance are as follows:
M indicates the quality of rotor in above formula, and ω indicates the revolving speed of rotor, JxIndicate the equator moment of inertia in the direction x, JyTable Show the equator moment of inertia in the direction y, JzIndicate polar moment of inertia, FLxAnd FRxElectricity of respectively left and right two magnetic bearings in the direction x Magnetic force, FLyAnd FRyElectromagnetic force of respectively left and right two magnetic bearings in the direction y;FexAnd FeyIt respectively indicates and acts on rotor x and y Out-of-balance force on the two directions;MεxAnd MεyRespectively indicate the unbalanced moments acted on the two directions rotor x and y.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: build described close Ring control system, including adapt to iterative learning controller and compensator parallel running, i.e., the input and output side phase of two modules Together, be all by input and electric current of the error of given position and physical location it is output, inhibits to remove the unbalanced disturbance of sound With the output of compensation compensator.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: the perturbed force It moves to left to move to left perturbed force to the output end of PID controller, the perturbed force is equivalent to the existence form of current perturbation, root According to the formula of electromagnetic force, this perturbed force can be write as: Fund=em ω2∠ (ω t+ φ) in order to directly compensate in the controller Fall out-of-balance force, disturbance quantity can be moved forward, regards an amount of unbalance of electric current, size as are as follows:
Parameter P indicates that the rotary speed parameter equation of power amplifier module, parameter S indicate the revolving speed of magnetic bearing module in above formula Parametric equation, parameter X (ω) indicate that the amplitude of P.S, parameter phi (ω) indicate the phase angle of P.S.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: the perturbed force Search be that X (ω) is a constant in magnetic bearing system, and φ (ω) is also close to 0, so amount of unbalance can be write as:
So the amount that needs recognize isIt can enable
Therefore required electric current are as follows: id=α cos (ω t)-β sin (ω t)+j α sin (ω t)+j β cos (ω t).
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: using under gradient Drop method come carry out identification α and β;Consist of assuming that the error in the measured x-axis direction of kth time is ex(k), then it is total in x-axis Body error are as follows:
The global error in y-axis can similarly be obtained are as follows:
Global error are as follows:
It is assumed that searching step-length is R, it is defined as follows search logic:
n+1βn+1]=[αnβn]+F(n)
F (0)=R
Required α, β can be acquired.
A kind of preferred embodiment as adaptive iteration compensating control method of the present invention, in which: by compensator and Adaptive iterative learning control device parallel running, learning rate are as follows:
vk+1(n)=β Pvk(n)+Qek(n)+Q1ek(n-1)
Learning rate is adjusted under conditions of β=1 makes result meet demand;Before disturbance can be fully compensated in compensator It puts, adaptive iterative learning control device is mainly used for maintaining system stable operation;When disturbance exceeds the maximum amount of compensator When, it, can be to noncompensable component since adaptive iterative learning control device itself has the performance that error is reduced to zero It compensates.
It is described it is a further object to provide a kind of adaptive iteration compensation control system, including rotor-support-foundation system Rotor-support-foundation system includes rotor body, magnetic bearing and PID controller, and the magnetic bearing drives the rotor body, and with the PID Controller constitutes closed-loop system;Iterated search disturbance compensation device, connect with the output end of the PID controller, compensates and disturb It is dynamic;Adaptive iterative learning control device guarantees the stability of system with the iterated search disturbance compensation device parallel running.
Beneficial effects of the present invention: first is that the disturbance control electricity compensated needed for quickly accurately being calculated by tracking error The size of stream ensure that the stability of system;Second is that compensator and controller parallel running, the compensation needed for compensator is more than it When capacity, controller can compensate for its output, have certain fault-tolerant ability.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this For the those of ordinary skill of field, without any creative labor, it can also be obtained according to these attached drawings other Attached drawing.Wherein:
Fig. 1 is the unbalanced schematic diagram of rotor-support-foundation system of the present invention;
Fig. 2 is the functional block diagram of adaptive iteration compensation control system of the present invention;
Fig. 3 is the functional block diagram of adaptive iteration of the present invention study;
Fig. 4~7 are simulation result diagram of the present invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, right with reference to the accompanying drawings of the specification A specific embodiment of the invention is described in detail, it is clear that and described embodiment is a part of the embodiments of the present invention, and It is not all of embodiment.Based on the embodiments of the present invention, ordinary people in the field is without making creative work Every other embodiment obtained, all should belong to the range of protection of the invention.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, but the present invention can be with Implemented using other than the one described here other way, those skilled in the art can be without prejudice to intension of the present invention In the case of do similar popularization, therefore the present invention is not limited by the specific embodiments disclosed below.
Secondly, " one embodiment " or " embodiment " referred to herein, which refers to, may be included at least one realization side of the invention A particular feature, structure, or characteristic in formula." in one embodiment " that different places occur in the present specification not refers both to The same embodiment, nor the individual or selective embodiment mutually exclusive with other embodiments.
Combination schematic diagram of the present invention is described in detail, when describing the embodiments of the present invention, for purposes of illustration only, indicating device The sectional view of structure can disobey general proportion and make partial enlargement, and the schematic diagram is example, should not limit this herein Invent the range of protection.In addition, the three-dimensional space of length, width and depth should be included in actual fabrication.
Simultaneously in the description of the present invention, it should be noted that the orientation of the instructions such as " upper and lower, inner and outer " in term Or positional relationship is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of description of the present invention and simplification of the description, and It is not that the device of indication or suggestion meaning or element must have a particular orientation, be constructed and operated in a specific orientation, therefore It is not considered as limiting the invention.In addition, term " first, second or third " is used for description purposes only, and cannot understand For indication or suggestion relative importance.
In the present invention unless otherwise clearly defined and limited, term " installation is connected, connection " shall be understood in a broad sense, example Such as: may be a fixed connection, be detachably connected or integral type connection;It equally can be mechanical connection, be electrically connected or be directly connected to, Can also indirectly connected through an intermediary, the connection being also possible to inside two elements.For the ordinary skill people of this field For member, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
Embodiment 1
Signal referring to Fig.1~3, the present embodiment consider that rotor body sound imbalance leads to the shadow of the eccentric force of rotor It rings, establishes the magnetic bearing kinetic model for being contained in revolving speed with the vibration force of frequency, then devise a kind of based on magnetic bearing position The adaptive iteration compensating controller of shift error, perturbed force (torque) is equivalent at current perturbation, by the error for extracting displacement Amount is disturbed by the method for iterative learning in PID control reference-junction compensation, guaranteed using adaptive iterative learning control device be The stability of system.By such method, the uneven brought vibration of sound under high revolving speed can effectively be inhibited to influence, and this The thought of kind disturbance quantity Forward has certain reference significance to the active control of magnetic bearing system, is previous magnetic bearings control Controller design is integrally carried out from system mostly in system;And the present embodiment moves forward disturbance quantity, is seen a current disturbing, Directly fall in electric current end compensating.It should be understood that unless otherwise indicated, compensator, that is, iterated search disturbance is mended in the present embodiment Device is repaid, controller refers to including adaptive iterative learning control device and PID controller.
Specifically, further comprising the steps of:
Step 1: considering the unbalanced presence of sound, establishes the magnetic bearing kinetic model comprising out-of-balance force disturbance, is The design of iterated search disturbance compensation device, adaptive iterative learning control device and PID controller provides mathematical model and analysis Basis.
It for design compensation device and controller, needs to establish the mathematical model of system, considers sound not when modeling Influence of the presence of balance to rotor dynamics.
Perturbed force and disturbing moment may be expressed as:
Fex=me ω2cos(ωt+φ)
Fey=me ω2sin(ωt+φ)
Mεx=(Jx-Jz)εω2cos(ωt+φ)
Mεy=(Jy-Jz)εω2sin(ωt+φ)
Parameter ω indicates that the revolving speed of magnetic bearing rotor, parameter e indicate spindle eccentricity away from parameter ε is indicated by torque in above formula Caused inclination angle, angle of unbalance caused by φ indicates uneven.
Magnetic bearing kinetic model comprising out-of-balance force disturbance is expressed as follows:
M indicates the quality of rotor in above formula, and ω indicates the revolving speed of rotor, JxIndicate the equator moment of inertia in the direction x, JyTable Show the equator moment of inertia in the direction y, JzIndicate polar moment of inertia, FLxAnd FRxElectricity of respectively left and right two magnetic bearings in the direction x Magnetic force, FLyAnd FRyElectromagnetic force of respectively left and right two magnetic bearings in the direction y.FexAnd FeyIt respectively indicates and acts on rotor x and y Out-of-balance force on the two directions.MεxAnd MεyRespectively indicate the unbalanced moments acted on the two directions rotor x and y.
Step 2: above-mentioned steps 2) detailed process is as follows:
Adaptive iterative learning control device and compensator parallel running, i.e., the input and output side of two modules is identical, all It is with the error of given position and physical location for input, electric current is output, and such controller can inhibit except sound is uneven Disturbance and compensate compensator output.
Step 3: is illustrated to compensator herein, moves to left the search with perturbed force including perturbed force.
Perturbed force moves to left:
The problem of what it was solved is how disturbance to be converted to electric current from power, specifically includes,
In order to the influence of the compensating disturbance directly in control electric current, selection moves to left perturbed force to PID controller Output end is equivalent to a kind of existence form of current perturbation
According to the formula of electromagnetic force, this perturbed force can be write as:
Fund=em ω2∠(ωt+φ)
In order to which out-of-balance force is fallen in compensation directly in PID controller, disturbance quantity can be moved forward, regard one of electric current as not Aequum, size are as follows:
Parameter P indicates that the rotary speed parameter equation of power amplifier module, parameter S indicate the revolving speed of magnetic bearing module in above formula Parametric equation, parameter X (ω) indicate that the amplitude of P.S, parameter phi (ω) indicate the phase angle of P.S.
The search of perturbed force:
The problem of what it was solved is how to pick out current disturbing, specifically includes,
X (ω) is a constant in magnetic bearing system, and φ (ω) is also close to 0, so amount of unbalance can be write as:
So the amount that needs recognize isIt can enable
Required electric current are as follows: id=α cos (ω t)-β sin (ω t)+j α sin (ω t)+j β cos (ω t)
Here identification α and β is carried out using gradient descent method.It is assumed that the error in x-axis direction measured by kth time is ex (k), then global error in x-axis are as follows:
The global error in y-axis can similarly be obtained are as follows:
Global error are as follows:
It is assumed that searching step-length is R, it is defined as follows search logic:
n+1βn+1]=[αnβn]+F(n)
F (0)=R
Required α, β can be acquired;Wherein α and β is above-mentioned current disturbing expression formula idIn unique unknown quantity, find out this Two amounts can find out current disturbing, to compensate.
Step 4: detailed process is as follows, it should be noted that compensator and controller are two modules, and step 3 is to retouch The mentality of designing of compensator is stated, using the selection of parameter when such control rate when step 4 is both descriptions parallel running;It can be right The feasibility of this control rate carries out proof addition.
By compensator and adaptive iterative learning control device parallel running, learning rate are as follows:
vk+1(n)=β Pvk(n)+Qek(n)+Q1ek(n-1)
Learning rate is adjusted under conditions of β=1 makes result meet demand.Before disturbance can be fully compensated in compensator It puts, adaptive iterative learning control device is mainly used for maintaining system stable operation;When disturbance exceeds the maximum amount of compensator, Since there is controller itself the performance that error is reduced to 0 can compensate to noncompensable component, thus guarantee be The fault-tolerance of system.
Further, the feasibility of control rate can be proved referring to the block diagram of Fig. 3:
As shown in figure 3 above, error signal:
ek(n)=Ud(n)-U1(n)
Learning rate are as follows:
vk+1(n)=β Pvk(n)+Qek(n)+Q1ek(n-1)
The input of power amplifier are as follows:
U3(n)=U2(n)+βvk(n)
Here be this law of learning can make error signal level off to 0 proof:
By vk+1(n)=β Pvk(n)+Qek(n)+Q1ek(n-1) formula is write as discrete form and can be obtained:
Vk+1(z)=β PVk(z)+QEk(z)+Q1Ek(z)z-1=
βPVk(z)+(Q+Q1z-1)Ek(z)
The discrete output form of controller can be write as:
The input of so power amplifier is are as follows:
For the ease of analysis, enableIt is available: Ek(z)= U3(z(-β)Vk z K(z)
Formula is brought by above formula is counterIn it is available:
Vk+1(z)=β PVk(z)+(Q+Q1z-1)(U3(z)-βVk(z)) K (z)=
β[P-(Q+Q1z-1)K(z)]Vk(z)+(Q+Q1z-1)K(z)U3(z)
Both sides take the limit that can obtain simultaneously:
V(z)=β [P- (Q+Q1z-1)K(z)]V(z)+(Q+Q1z-1)K(z)U3(z)
So
If β=1 in above formula, | | β [P- (Q+Q1z-1)K(z)||< 1 is set up, then
It releases:
So above-mentioned control method can theoretically make error amount be reduced to 0, it was demonstrated that this controller can be by error It is reduced to 0, also ensures that input is equal to the purpose that output namely designs and reaches.
Sound imbalance Disturbance Rejection method proposed by the present invention has the advantage that
(1) size of the disturbance control electric current compensated needed for quickly accurately being calculated by tracking error, ensure that and be The stability of system.
(2) compensator and controller parallel running, when the compensation needed for compensator is more than its capacity, controller can compensate for it Output has certain fault-tolerant ability.When the electric current picked out is greater than the fan-out capability of compensator, compensator is in maximum negative Lotus operation, can not be fully compensated, and there are still disturbances in model.Theoretically using the controller of step 4 controller design at this time Error can be reduced to 0, disturbance can be inhibited)
(3) accurate parameter is not needed when designing controller, has still and can keep in face of unknown disturbance and uncertain parameter System is stablized, such as when system deviation occurs due to magnetic center and the centre of motion can generate multiple harmonic in systems, at this time from Such disturbance can be inhibited so that system has certain robustness by adapting to iterative learning controller.Such as imitating for Fig. 4~7 True signal discovery compensation front and back effect is obvious.
A kind of adaptive iteration compensation control system, including rotor-support-foundation system, the rotor-support-foundation system are also provided in the present embodiment Including rotor body, magnetic bearing and PID controller, the magnetic bearing drives the rotor body, and with the PID controller structure At closed-loop system;Iterated search disturbance compensation device, connect with the output end of the PID controller, compensates disturbance;And from It adapts to iterative learning controller and guarantees the stability of system with the iterated search disturbance compensation device parallel running.In combination with figure 2 signal, understandable to be, it is iterated search disturbance compensation device that wherein compensating module is corresponding, and adaptation module is corresponding Be controller shown in adaptive iterative learning control device and Fig. 3 be adaptive iterative learning control device.
It should be noted that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to preferable Embodiment describes the invention in detail, those skilled in the art should understand that, it can be to technology of the invention Scheme is modified or replaced equivalently, and without departing from the spirit and scope of the technical solution of the present invention, should all be covered in this hair In bright scope of the claims.

Claims (10)

1. a kind of adaptive iteration compensating control method, it is characterised in that: including,
The same frequency perturbed force that rotor-support-foundation system is generated is equivalent at current perturbation, extracts the margin of error of rotor displacement, is searched by iteration The iterative learning for seeking disturbance compensation device compensates disturbance in the output end of the controller exported for control system;And simultaneously Using adaptive iterative learning control device and compensator parallel running, guarantee the stability of system.
2. adaptive iteration compensating control method as described in claim 1, it is characterised in that: it is specific further comprising the steps of,
Establish the kinetic model of the magnetic bearing comprising out-of-balance force disturbance;
According to the kinetic model, the closed-loop control system comprising iterated search disturbance compensation device and magnetic suspension controller is built System, wherein the magnetic suspension controller includes adaptive iterative learning control device and PID controller;
The iterated search disturbance compensation device design, moves to left the search with perturbed force including perturbed force, by introducing target position With the difference of physical location, after calculating current perturbation, by directly applying the opposite signal of an amplitude and it in current terminal It is overlapped and compensates;
Using iterated search disturbance compensation device and the adaptive iterative learning control device parallel operation, the disturbance of system is carried out Effectively inhibits and guarantee system stable operation.
3. adaptive iteration compensating control method as claimed in claim 2, it is characterised in that: according in view of sound imbalance Presence, therefore perturbed force and disturbing moment indicate are as follows:
Fex=me ω2cos(ωt+φ)
Fey=me ω2sin(ωt+φ)
Mεx=(Jx-Jz)εω2cos(ωt+φ)
Mεy=(Jy-Jz)εω2sin(ωt+φ)
Parameter ω indicates that the revolving speed of magnetic bearing rotor, parameter e indicate spindle eccentricity away from parameter ε expression is caused by torque in above formula Inclination angle, angle of unbalance caused by φ indicates uneven.
4. adaptive iteration compensating control method as claimed in claim 3, it is characterised in that: by the perturbed force and perturbed force Square, it is known that the kinetic model comprising out-of-balance force disturbance are as follows:
M indicates the quality of rotor in above formula, and ω indicates the revolving speed of rotor, JxIndicate the equator moment of inertia in the direction x, JyIndicate the side y To equator moment of inertia, JzIndicate polar moment of inertia, FLxAnd FRxRespectively left and right two magnetic bearings the direction x electromagnetic force, FLyAnd FRyElectromagnetic force of respectively left and right two magnetic bearings in the direction y;FexAnd FeyRespectively indicate act on rotor x and y this two Out-of-balance force on a direction;MεxAnd MεyRespectively indicate the unbalanced moments acted on the two directions rotor x and y.
5. adaptive iteration compensating control method as claimed in claim 2 or claim 3, it is characterised in that: build the closed-loop control System, including adapt to iterative learning controller and compensator parallel running, i.e., the input and output side of two modules is identical, is all It is output by input and electric current of the error of given position and physical location, inhibits to mend except the unbalanced disturbance of sound and compensation Repay the output of device.
6. adaptive iteration compensating control method as claimed in claim 5, it is characterised in that: the perturbed force moves to left to disturb Power is moved to left to the output end of PID controller, the perturbed force is equivalent to the existence form of current perturbation, according to electromagnetic force Formula, this perturbed force can be write as: Fund=em ω2∠(ωt+φ)
In order to which directly out-of-balance force is fallen in compensation in the controller, disturbance quantity can be moved forward, regard an amount of unbalance of electric current as, Size are as follows:
Parameter P indicates that the rotary speed parameter equation of power amplifier module, parameter S indicate the rotary speed parameter of magnetic bearing module in above formula Equation, parameter X (ω) indicate that the amplitude of P.S, parameter phi (ω) indicate the phase angle of P.S.
7. adaptive iteration compensating control method as claimed in claim 6, it is characterised in that: the search of the perturbed force is,
X (ω) is a constant in magnetic bearing system, and φ (ω) is also close to 0, so amount of unbalance can be write as:
So the amount that needs recognize isIt can enable
Therefore required electric current are as follows: id=α cos (ω t)-β sin (ω t)+j α sin (ω t)+j β cos (ω t).
8. adaptive iteration compensating control method as claimed in claim 7, it is characterised in that: carried out using gradient descent method Recognize α and β;Consist of assuming that the error in the measured x-axis direction of kth time is ex(k), then global error in x-axis are as follows:
The global error in y-axis can similarly be obtained are as follows:
Global error are as follows:
It is assumed that searching step-length is R, it is defined as follows search logic:
n+1βn+1]=[αnβn]+F(n)
F (0)=R
Required α, β can be acquired.
9. the adaptive iteration compensating control method as described in claim 6~8 is any, it is characterised in that: by compensator and certainly Adapt to iterative learning controller parallel running, learning rate are as follows:
vk+1(n)=β Pvk(n)+Qek(n)+Q1ek(n-1)
Learning rate is adjusted under conditions of β=1 makes result meet demand;When the premise of disturbance can be fully compensated in compensator Under, adaptive iterative learning control device is mainly used for maintaining system stable operation;
When disturbance exceeds the maximum amount of compensator, error is reduced to since adaptive iterative learning control device itself has Zero performance can compensate noncompensable component.
10. a kind of adaptive iteration compensation control system, it is characterised in that: including,
Rotor-support-foundation system, the rotor-support-foundation system include rotor body, magnetic bearing and PID controller, and the magnetic bearing driving is described to be turned Sub- ontology, and closed-loop system is constituted with the PID controller;
Iterated search disturbance compensation device, connect with the output end of the PID controller, compensates disturbance;
Adaptive iterative learning control device guarantees the stability of system with the iterated search disturbance compensation device parallel running.
CN201811643972.7A 2018-12-29 2018-12-29 Self-adaptive iterative compensation control method and system Pending CN109725533A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811643972.7A CN109725533A (en) 2018-12-29 2018-12-29 Self-adaptive iterative compensation control method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811643972.7A CN109725533A (en) 2018-12-29 2018-12-29 Self-adaptive iterative compensation control method and system

Publications (1)

Publication Number Publication Date
CN109725533A true CN109725533A (en) 2019-05-07

Family

ID=66299550

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811643972.7A Pending CN109725533A (en) 2018-12-29 2018-12-29 Self-adaptive iterative compensation control method and system

Country Status (1)

Country Link
CN (1) CN109725533A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110032074A (en) * 2019-05-22 2019-07-19 中国科学院光电技术研究所 A kind of double compensation device design method of two-way feedforward disturbance observer
CN110058528A (en) * 2019-06-04 2019-07-26 南京工业大学 Magnetic bearing sensor end disturbance self-adaption iterative learning control method for flywheel energy storage

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101795105A (en) * 2010-03-15 2010-08-04 南京工业职业技术学院 Suspension rotor equivalent disturbance current compensation control device for bearing-free permanent magnet synchronous motor
CN104570740A (en) * 2015-01-21 2015-04-29 江南大学 Periodic adaptive learning control method of input saturation mechanical arm system
US20170158228A1 (en) * 2014-07-10 2017-06-08 Trw Automotive U.S. Llc System and Method for Robust Active Disturbance Rejection in Electric Power Steering
CN107133387A (en) * 2017-04-10 2017-09-05 浙江大学 The imbalance compensation algorithm of rotor unbalance coefficient variable step polygon iterated search
CN108716471A (en) * 2018-04-03 2018-10-30 北京航空航天大学 A kind of rotor of magnetic suspension molecular pump infinitesimal displacement Active Control Method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101795105A (en) * 2010-03-15 2010-08-04 南京工业职业技术学院 Suspension rotor equivalent disturbance current compensation control device for bearing-free permanent magnet synchronous motor
US20170158228A1 (en) * 2014-07-10 2017-06-08 Trw Automotive U.S. Llc System and Method for Robust Active Disturbance Rejection in Electric Power Steering
CN104570740A (en) * 2015-01-21 2015-04-29 江南大学 Periodic adaptive learning control method of input saturation mechanical arm system
CN107133387A (en) * 2017-04-10 2017-09-05 浙江大学 The imbalance compensation algorithm of rotor unbalance coefficient variable step polygon iterated search
CN108716471A (en) * 2018-04-03 2018-10-30 北京航空航天大学 A kind of rotor of magnetic suspension molecular pump infinitesimal displacement Active Control Method

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
CHAO BI等: "Automatic Learning Control for Unbalance", 《IEEE TRANSACTIONS ON MAGNETICS》 *
GAO HUI等: "Unbalance Vibratory Displacement Compensation for Active Magnetic Bearings", 《CHINESE JOURNAL OF MECHANICAL ENGINEERING》 *
来林等: "基于迭代学习算法的控制力矩陀螺框架", 《空间控制技术与应用》 *
杨泽斌等: "基于坐标变换的无轴承异步电机转子振动前馈补偿控制", 《中南大学学报(自然科学版)》 *
毛川等: "主动电磁轴承–刚性转子***实时变步长迭代不平衡补偿", 《中国电机工程学报》 *
王忠博等: "电磁轴承高速电机转子多频振动的电流补偿控制", 《中国电机工程学报》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110032074A (en) * 2019-05-22 2019-07-19 中国科学院光电技术研究所 A kind of double compensation device design method of two-way feedforward disturbance observer
CN110032074B (en) * 2019-05-22 2022-04-19 中国科学院光电技术研究所 Double compensator design method of double-path feedforward disturbance observer
CN110058528A (en) * 2019-06-04 2019-07-26 南京工业大学 Magnetic bearing sensor end disturbance self-adaption iterative learning control method for flywheel energy storage

Similar Documents

Publication Publication Date Title
CN109149605B (en) VSG-based micro-grid transient state adaptive parameter control strategy
CN108716471B (en) Active control method for minimum displacement of rotor of magnetic suspension molecular pump
Liu et al. Field dynamic balancing for rigid rotor-AMB system in a magnetically suspended flywheel
CN110456630A (en) A kind of control-moment gyro Gimbal servo system rejection to disturbance control method
CN108710286B (en) Same-frequency vibration moment layered control method based on cross decoupling wave trap
CN104950919B (en) Method for designing stability parameters of self-adapting filter of self-balancing system of magnetic suspension rotor
CN109725533A (en) Self-adaptive iterative compensation control method and system
Li et al. Suppression of harmonic vibration in AMB-rotor systems using double-input adaptive frequency estimator
CN103605819B (en) The analogy method of a kind of turbine-generator units shafting vibration transient state
Yang et al. Rotor radial disturbance control for a bearingless induction motor based on improved active disturbance rejection control
Bu et al. Adaptive feedforward vibration compensation control strategy of bearingless induction motor
Huang et al. A review of active magnetic bearing control technology
CN113741181A (en) Rotating speed self-adaptive magnetic suspension rotor system odd harmonic current suppression method
Sun et al. Neuron PID control for a BPMSM based on RBF neural network on‐line identification
Tang et al. Active vibration control of the flexible rotor to pass the first bending critical speed in high energy density magnetically suspended motor
CN112953344B (en) Unbalance vibration compensation control method for bearingless asynchronous motor rotor
Wu et al. An mechatronics coupling design approach for aerostatic bearing spindles
Zhang et al. Stability control for a centripetal force type-magnetic bearing-rotor system based on golden frequency section point
CN202004696U (en) Magnetic levitation molecular pump system
Xu et al. Stability analysis and imbalance compensation for active magnetic bearing with gyroscopic effects
Gao et al. The impact analysis of beating vibration for active magnetic bearing
Xu et al. Adaptive robust control of active magnetic bearings rigid rotor systems
CN109975610B (en) Micro-grid dynamic frequency detection and adjustment method
Ouyang et al. Vibration suppression for rotor system of magnetic suspended wind turbines using cross-feedback-based sliding mode control
CN110058528A (en) Magnetic bearing sensor end disturbance self-adaption iterative learning control method for flywheel energy storage

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