CN109599889A - DFIG low voltage traversing control method, system under unbalance voltage based on fuzzy active disturbance rejection - Google Patents
DFIG low voltage traversing control method, system under unbalance voltage based on fuzzy active disturbance rejection Download PDFInfo
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Abstract
The present invention is based on DFIG low voltage traversing control methods, system under the unbalance voltage of fuzzy active disturbance rejection, by the electric current, voltage and flux linkage equations of establishing DFIG under synchronous rotating frame, design fuzzy automatic disturbance rejection controller, it is used to realize reasonable transient process using Nonlinear Tracking Differentiator, reduces the overshoot of output；Extended state observer estimates system and always disturbs and be compensated by;Calculate the Fuzzy-ADRC control for turning to set sub- side.Disclosed scheme inhibits negative-sequence current, slows down the impact of electric current and voltage, reduces the adjustable parameter of system while system being made to have stronger robustness and faster dynamic response to disturbance.
Description
Technical field
The present invention is intended to provide DFIG low voltage traversing control method under a kind of unbalance voltage based on fuzzy active disturbance rejection,
It is suitably applied DFIG cutting-in control, the Voltage Drop of stator terminal is classified as unknown disturbance amount, and estimates system and always disturbs simultaneously
It is compensated by, realizes the low voltage crossing control of DFIG.
Background technique
Wind-power electricity generation be in generation of electricity by new energy technology it is most mature, it is on the largest scale be also exploit condition and commercialized development prospect
One of best generation mode.Doubly-fed wind turbine is used widely in wind-power electricity generation, is primarily due to generator
It can be run under the bilateral feed of stator and rotor, realize the variable speed constant frequency of DFIG by controlling excitation, the phase and amplitude of rotor-side
Power generation.Because of DFIG generator unit side direct grid-connected, cause unit more sensitive to network voltage failure.When voltage falls
When, DFIG unit will generate serious electromagnetic transient, cause the overcurrent of stator and rotor side and the fluctuation of DC bus-bar voltage.
Therefore, the research of low voltage ride-through capability of wind turbine generator system has great significance.
Correlation scholar both domestic and external has done correlative study in this field, and proposes some associated solutions.
8th phase in 2006 is published in " Automation of Electric Systems " " DFIG Wind Energy Generation System Under Grid Voltage Dip modeling and control
System " the positive and negative order components of the voltage of the wind turbine established under unbalance voltage of a text, electric current and magnetic linkage transform on dq axis
Mathematical model.6th phase in 2012 is published in " Automation of Electric Systems " " double-fed under uneven and harmonic distortion network voltage
Wind power system control strategy " a literary positive and negative order components change by the voltage of the wind turbine under unbalance voltage, electric current and magnetic linkage
It changes to and carries out decoupling control on dq axis, analyze the dynamic characteristic that stator voltage falls the stator and rotor electric current of rear DFIG in detail,
And analysis being compared with the result of emulation, but the control strategy structure is excessively complicated, designed controller relies on parameter mistake
More and adjusting is inconvenient, therefore poor robustness, dynamic response are slow." double-fed wind in " Electric Power Automation Equipment " of 6th phase in 2010
Force generating system low voltage crossing Strategy Simulation " text elaborate Active Crowbar and DC side-discharging circuit consume by
Stator voltage falls bring excessive power to realize Wind turbines LVRT, but does not consider the control feelings of DFIG when Voltage unbalance
Condition.
Summary of the invention
The present invention is in view of the above problems, propose DFIG low voltage crossing control under the unbalance voltage based on fuzzy active disturbance rejection
Method processed solves the problems, such as unbalanced power supply lower rotor part side overcurrent.Emulation and experimental result all show that the device can be mentioned effectively
The low voltage crossing of high wind generator system is horizontal, engineering application value with higher.
Double-fed induction wind driven generator group structure is as shown in Figure 1.Double-fed induction wind driven generator group by mainly by wind energy conversion system,
Double fed induction generators, frequency converter and Crowbar circuit composition.Wind energy conversion system transforms wind energy into mechanical energy, double fed induction generators
Rotor windings be connected with the rotor-side converter of frequency converter, by mechanical energy convert electric energy under Frequency Converter Control effect.Become
Frequency device is made of rotor-side converter and grid side converter.Rotor-side converter for double fed induction generators provide power supply amplitude,
The variable exciting current of phase and frequency.Grid side converter is really a voltage type PWM rectifier, and exchange side has unique
Controlled current source characteristic is, it can be achieved that four quadrant running.
Rotor-side converter electric current obscures Active Disturbance Rejection Control structure as shown in Fig. 2, in the case of due to grid voltage sags
Electromagnetic transient can occur for DFIG internal system, can be analyzed, be obtained in this case in dq+, dq- coordinate system
The expression formula of DFIG electric current, voltage and magnetic linkage.Falling process of the stator three-phase voltage in low-voltage imbalance fault, can
To disturb as system, and estimate total disturbance.
The present invention proposes DFIG low voltage traversing control method under a kind of unbalance voltage based on fuzzy active disturbance rejection, solves
The problem of unbalanced power supply lower rotor part side overcurrent.It is remarkably improved the low voltage ride-through capability of wind generator system, specifically
Principle and way are as follows:
1. DFIG low voltage traversing control method under the unbalance voltage based on fuzzy active disturbance rejection, it is characterised in that it includes
Following steps:
The first step writes out voltage, electricity according to DFIG model under unbalanced electric grid voltage on double synchronization rotational coordinate axs
The differential form of stream, magnetic linkage.
Second step carries out fuzzy Active Disturbance Rejection Control: taking error is e1xy, change rate e2xy。
According to Active Disturbance Rejection Control principle and motor model, the Nonlinear Tracking Differentiator is taken to be
Expanding observer is
Using Mamdani type as fuzzy reasoning theory, using average weighted method as de-fuzzy algorithm, fuzzy control table is designed
Online modification is carried out to nonlinear feedback rate, control table 1 is as follows:
1 △ β of table3、△β4Fuzzy control table
2 fuzzy control table of Table1 delta beta 1, delta beta
Then nonlinear feedback rate are as follows:β '=β
+ Δ β, β is initial value, β in formulai、ai, δ be controlled variable.
For third step with power for outer ring signal, electric current is interior ring signal, designs the control method of electric current, to inhibit negative phase-sequence
Electric current enables negative-sequence current
Forward-order current is
So that biggish dash current does not occur for rotor-side when grid voltage sags, and restore to stablize within a short period of time
Value.
Further, the S1 step DFIG model formation is as follows:
Voltage equation in dq+, dq- coordinate system are as follows:
In formula, UsAnd UrFor stator and rotor voltage, ψ is magnetic linkage, ω1For angular speed, ωslipFor slip angular velocity, RsAnd RrFor
Stator and rotor resistance parameters；
In dq+,dq-DFIG flux linkage equations in coordinate system are as follows:
In formula, Ψsd+, Ψsq+, Ψsd-, Ψsq-, Ψrd+, Ψrq+, Ψrd-, Ψrq-For stator, the d of rotor flux+,q+,d-,
q-Axis component Ls、LrFor stator and rotor self-induction, LmFor rotor mutual inductance.
Further, the fuzzy Active Disturbance Rejection Control is that double-current inner ring obscures Active Disturbance Rejection Control.
Further, DFIG system controller is using DFIG low-voltage under the above-mentioned unbalance voltage based on fuzzy active disturbance rejection
Traversing control method.
Further, DFIG system stator is connect with power grid, and rotor is connect by rotor-side converter with power grid.
Further, DFIG system controller by Nonlinear Tracking Differentiator by input signal resolve into approximate quantity and quantity of state with
The product of step-length makes system non-overshoot；The observation of each state variable and the observation of system disturbance are received by expanding observer
Value.
Compared with prior art, the beneficial effects of the present invention are:
Using fuzzy Auto-disturbance-rejection Control, the current disturbing time is shortened, reduces impact of the current fluctuation to system.
It by the improvement to nonlinear feedback rate, designs fuzzy control table and online modification is carried out to nonlinear feedback rate, when external event
When barrier causes system power to disturb, disturbance is compensated by parameter adjustment, keeps current amplitude smaller, is restored to stationary value institute
Time is short, and system response improves.
Detailed description of the invention
Fig. 1 is rotor-side converter electric current Active Disturbance Rejection Control structure chart；
Fig. 2 is that rotor-side converter electric current obscures Active Disturbance Rejection Control structure chart；
The DFIG Wind turbines that Fig. 3 is 6MW emulate voltage wave cardon；
Fig. 4 is traditional control strategy dq shaft current；
Fig. 5 obscures Application of Auto-Disturbance Rejection dq shaft current；
Fig. 6 traditional control strategy dq shaft voltage；
Fig. 7 obscures Application of Auto-Disturbance Rejection dq shaft voltage；
Fig. 8 traditional control strategy torque；
Fig. 9 obscures Application of Auto-Disturbance Rejection torque；
Figure 10 traditional control strategy power；
Figure 11 traditional control strategy power.
Embodiment
The present invention provides DFIG low voltage traversing control method under a kind of unbalance voltage based on fuzzy active disturbance rejection, as follows
Step:
S1. according to DFIG model under unbalanced electric grid voltage, voltage, electric current, magnetic are write out on double synchronization rotational coordinate axs
The differential form of chain.
Because transformer can eliminate residual voltage when star to triangle connects, so in analysis unbalanced grid faults
When only need to consider that positive sequence and negative sequence component, DFIG system structure are as shown in Figure 1.ABC coordinate system navigate on dq axis
Obtain the positive sequence and negative phase-sequence mathematical model of DFIG.Voltage equation of the DFIG in dq+, dq- coordinate system are as follows:
In formula, UsAnd UrFor stator and rotor voltage, ψ is magnetic linkage, ω1For angular speed, ωslipFor slip angular velocity, RsAnd RrFor
Stator and rotor resistance parameters.
In dq+,dq-DFIG flux linkage equations in coordinate system are as follows:
In formula, Ψsd+, Ψsq+, Ψsd-, Ψsq-, Ψrd+, Ψrq+,
Ψrd-, Ψrq-For stator, the d of rotor flux+,q+,d-,q-Axis component Ls、LrFor stator and rotor self-induction, LmTo turn surely
Sub- mutual inductance.
S2. fuzzy Active Disturbance Rejection Control is carried out to DFIG model
S21. fuzzy Active Disturbance Rejection Control system is established
Automatic disturbance rejection controller (ADRC) is improved on the basis of classical PID control, does not need directly to measure outer dry
The effect of disturbing does not need the rule of precognition disturbance yet.It, can be between the subsystem of multivariable just because of this feature of ADRC
Coupling is classified as " unknown disturbance ", therefore without relying upon controlled device in use process as a kind of uncertain amount
Mathematical models.It is as shown in Figure 1 Active Disturbance Rejection Control system diagram, " TD " is Nonlinear Tracking Differentiator, and " ESO " is expansion observer,
Rotor-side electric current i inputs Nonlinear Tracking Differentiator, exports as i1、i2, respectively indicate " the approximation of tracking rotor current and rotor current
Differential ", i1、i2Respectively with the observation z that is formed in expansion observer1、z2It is compared, obtains error e1With change rate e2, will
e1、e2U is obtained in unbalanced input state error feedback rate control expression formula0(t), U (t), by U0(t), U (t) passes through expansion
New observation z is generated after observer calculating1、z2, new z will be generated1、z2It is exported respectively with next round in Nonlinear Tracking Differentiator
I1、i2, it is compared, calculates new error e1With change rate e2, then pass through the progress of nonlinear state error feedback rate control
Meter, by recycling above, tracing control curent change.
On the basis of fuzzy Active Disturbance Rejection Control system is automatic disturbance rejection controller, fuzzy control table is increased, in nonlinear state
Fuzzy control process is introduced in error feedback rates expression formula.Its system structure is as shown in Fig. 2, error e1With change rate e2In mould
It is adjusted, modifies in paste control table, obtain optimal varied rate.
A. it is as follows to obscure Active Disturbance Rejection Control system input parameter designing:
There are part coupling terms in system known to the state equation of rotor-side converter, and then make the component and q on d axis
Component on axis influences each other, this is unfavorable for the transient performance of control system.This method is estimated using fuzzy Active Disturbance Rejection Control
Coupling amount makes exterior also be not easy to deviate target when being interfered.Power out-put characteristic when by unbalanced source voltage can
DFIG active P when obtaining uneven0And reactive power Q0Are as follows:
To reduce rotor-side electric current negative sequence component, taking negative-sequence current is 0, i.e.,By formula (1), (2), (3) and formula
(4) positive sequence rotor current reference value can be obtained are as follows:
Therefore, in fuzzy automatic disturbance rejection controller when the input of rotor-side electric current, negative-sequence current 0, forward-order current reference value
As shown in expression formula 5.
B. the Nonlinear Tracking Differentiator design for obscuring automatic disturbance rejection controller is as follows:
The nonlinear uncertain object x (n) that unknown disturbances act on is expressed as follows:
In formula,It is unknown function, w (t) is unknown external disturbance, and x (t) is the amount that can measure, and b is
The practical control amount that object obtains.
The input of transition process arranging is set as rotor current reference valueOutput is i1xy, i2xy；Wherein i1xyFor tracking
Rotor current, i2xyFor " approximate differential " of rotor current.TD parameter expression are as follows:
Wherein x indicates that d axis or q axis, y indicate positive sequence or negative phase-sequence, i1xyFor rotor current pursuit gain, z1xyFor rotor current sight
Measured value, h are step-length, and e is error.
To reduce the overshoot of output, while avoiding generating high frequency when system enters stable state after Tracking differentiator discretization
The phenomenon that trembling, in TD nonlinear function g according to:
1. nonlinear function g (z) continuously differentiable；
2. g (0)=0；
3. its derivative
It is as follows to can be taken as fal function expression:
In formula, a 0-1, δ are that filtering influences constant (generally taking 5T≤δ≤10T), and e is state estimation error.Then track
Differentiator parameter expression is as follows:
C. the expansion Design of Observer for obscuring automatic disturbance rejection controller is as follows:
The observational equation that augmentation system can be constructed to this system is expressed as follows:
Due to ziThe quantity of state x (i-1) (t) expanded, and parameter b are tracked respectively0It is known that so control amount can be chosen for:
U=u0-z3/b0。
Because nonlinear function is fal function, so the form of ESO are as follows:
Wherein β0iFor can Selecting All Parameters.
To realize observation of the ESO to state, the compensation matrix of formula (9) is write outAccording to system stability
Necessary and sufficient condition enables the characteristic root of A on the left demifacet of complex plane, and (the i.e. λ that is sufficiently negative3+λ2k1+λk2+k3=0), enable A's
Eigenvalue λ1,λ2,λ3With parameter k1,k2,k3Meet:
s3+k1s2+k2s+k3=(s- λ1)(s-λ2)(s-λ3)
K can be obtained according to the method for undetermined coefficients1,k2,k3Value, byInitial value β can be obtained0i。
With ird+,irq+,ird-,irq-To measure input, w1,w2,w3,w4Disturbance quantity is estimated for device, is built state expansion and is seen
It is as follows to survey device parameter expression:
Wherein x indicates that d axis or q axis, y indicate positive sequence or negative phase-sequence, z1xyFor rotor current disturbance observation value.
S22. fuzzy control table is introduced, revisable Fuzzy Nonlinear feedback rates are designed
Fuzzy control table is introduced, the nonlinear state error feedback rates in Active Disturbance Rejection Control system are subjected to online modification,
Parameter is carried out again most preferably to adjust.With e1,e2For input, then output is △ β, defines 7 language subsets, respectively { " honest
(PB) ", " center (PM) ", " just small (PS) ", " zero (ZO) ", " negative big (NB) ", " in negative (NM) ", " bearing small (NS) " }.With e1,
e2For input, subordinating degree function gaussmf, e1And e2Fuzzy subset it is equal are as follows: { PB, PM, PS, ZO, NS, NM, NB } takes
e1,e2Domain is { -3, -2, -1,0,1,2,3 }.With △ β03With △ β04For output, subordinating degree function trimf, output
Collection is { PB, PM, PS, ZO, NS, NM, NB }, △ β03Domain are as follows: { -0.3, -0.2, -0.1,0,0.1,0.2,0.3 }.△β04
Domain are as follows: { -0.06, -0.04, -0.02,0.02,0.04,0.06 }.△β3、△β4Fuzzy control table is as follows:
Fuzzy Nonlinear feedback rates expression formula is
β '=β+Δ β, in formula, β is initial value, βi、ai, δ be controlled variable.
S23. pass through Fuzzy Nonlinear state error feedback rate control control system parameter
When using Fuzzy Nonlinear state error feedback rate control control system, by error e1, change rate e2Input Fuzzy Control
Tabulation carries out Fuzzy Calculation, acquires output quantity △ β3、△β4Corresponding parameter, by △ β3、△β4Substitute into Fuzzy Nonlinear feedback rates
Expression formula calculates U0(t), U (t)；By U0(t), U (t) calculates z by expansion observer1、z2.For example, taking error originated from input e1And change
Rate e2Respectively PB and ZO, then PB is inquired it is found that e in Fuzzy Calculation table the value of domain is 3, ZO in the value of domain is 01With
e2Corresponding output is MN/PM, then output valve △ β3With △ β4Respectively MN, PM, the corresponding value △ β in domain3For 0.2, △
β4It is -0.04.By △ β3For 0.2, △ β4Nonlinear feedback rate expression formula, which is substituted into, for -0.04 calculates U0(t), U (t) is obscured
Control.
S24. the current parameters of loop control input
Enabling negative-sequence current is 0, will input Nonlinear Tracking Differentiator by forward-order current at this time, and form two component i1、i2, seen with expansion
Survey the z formed in device1、z2It is compared, obtains new error e1With change rate e2, the error e that will newly be formed1With change rate e2
Fuzzy Calculation is carried out again, and unbalanced input feedback rates meter calculates U0(t), U (t) influences next round by expansion observer
Electric current input, circuits sequentially.
This method designs fuzzy control table and carries out online modification to nonlinear feedback rate, when external fault causes system power
When disturbance, disturbance is compensated by parameter adjustment, keeps current amplitude smaller, it is short to be restored to the time used in stationary value, is
System response improves.
Following emulation and experiment are carried out using fuzzy Auto-disturbance-rejection Control: establishing the emulation of the DFIG Wind turbines of 6MW
Model, the wind power plant that totally 4 1.5MW are constituted are emulated.Take emulation motor as follows: rated power 1.5MW, the specified electricity of stator
690V, stator resistance 0.0071 (pu) are pressed, stator leakage inductance is 0.175 (pu).Rotor resistance 0.004 (pu), rotor leakage inductance
0.154 (pu), magnetizing inductance 2.7 (pu), inertia time constant 5.0s, number of pole-pairs 3.It is emulated to suggesting plans, as a result such as
Shown in attached drawing 3-11.As seen from Figure 3, network voltage occurs 5% imbalance in 0.24s, and when 0.80s is restored to network voltage
Equilibrium state.Conventional vector control strategy has ignored the negative phase-sequence of electromagnetic quantities in the electromagnetic transient as caused by grid voltage sags
Ingredient, so that the fluctuation of lesser unbalance voltage can also generate the biggish dash current of amplitude.This dash current will lead to
There is the normal operation of Wind turbines and seriously endanger in the fever of Wind turbines imbalance.In addition, being returned to often in 0.8s network voltage
When state, rotor-side electric current is restored to that the time used in stationary value is longer, and system dynamic response is slow.By attached drawing 4 and attached drawing 5 as it can be seen that originally
It invents the fuzzy Active Disturbance Rejection Control used and online modification is carried out to controller parameter to adapt to the system mould in electromagnetic transient
Type, when unbalanced source voltage falls, produced rotor-side current amplitude is smaller, effectively prevents rotor-side overcurrent.By attached
As it can be seen that in voltage ripple of power network, fuzzy Active Disturbance Rejection Control scheme can preferably inhibit the shake of torque for Fig. 6 and attached drawing 7, have
Conducive to the service life for extending Wind turbines.By attached drawing 8-11 as it can be seen that rotor-side power is smaller when grid voltage sags, be conducive to
The safe operation of current transformer, while after network voltage recovery, rotor-side electric current, torque, power, which are restored to, stablizes the time used
It is shorter, it is seen that system has stronger robustness and faster dynamic response.
The present invention is directed to propose DFIG low voltage crossing controls under a kind of unbalance voltage based on fuzzy active disturbance rejection, design
Automatic disturbance rejection controller is obscured out, is used to realize reasonable transient process using Nonlinear Tracking Differentiator, is reduced the overshoot of output；Expansion
State observer estimates system and always disturbs and be compensated by；The Fuzzy-ADRC control for turning to set sub- side is calculated, is suggested plans
Negative-sequence current is inhibited, the impact of electric current is slowed down, reduce the adjustable parameter of system while there is system to disturbance is stronger
Robustness and faster dynamic response.
Claims (8)
1. DFIG low voltage traversing control method under the unbalance voltage based on fuzzy active disturbance rejection, it is characterised in that including following step
It is rapid:
S1. DFIG model formation under unbalanced electric grid voltage is established；
S2. fuzzy Active Disturbance Rejection Control system is designed
S21. Active Disturbance Rejection Control system is established
Nonlinear Tracking Differentiator and expansion observer are designed, is input parameter with electric current, taking error is e1xy, change rate e2xy, according to
Active Disturbance Rejection Control principle and motor model, obtain Nonlinear Tracking Differentiator are as follows:
Expand observer are as follows:
S22. fuzzy control table is introduced, revisable Fuzzy Nonlinear feedback rates are designed
Fuzzy control is applied in Active Disturbance Rejection Control model, with e1、e2For input, △ β03With △ β04For output；Define 7 languages
Say subset, respectively " honest (PB) ", " center (PM) ", " just small (PS) ", " zero (ZO) ", " negative big (NB) ", " in negative
(NM) ", " small (NS) is born " }；
It is as follows to establish fuzzy control table:
In fuzzy table, output parameter is calculated according to input parameter；By output parameter △ β03With △ β04Substitute into nonlinear feedback
Rate formula calculates U0(t) with U (t), pass through expansion observer and observe current error e1With change rate e2；The nonlinear change rate
Formula are as follows:
β in formulai,ai, δ is adjustable
Amount；
S3. fuzzy Active Disturbance Rejection Control is carried out to DFIG model
S31. with power for outer ring signal, electric current is interior ring signal, enables negative-sequence currentForward-order current are as follows:
By the Nonlinear Tracking Differentiator of positive sequence and the fuzzy Active Disturbance Rejection Control system of negative-sequence current input in each reference axis, by the ginseng of output
Number forms current error e compared with the observed parameter that extension observer generates1With change rate e2, by e1、e2It is non-thread by obscuring
Property feedback rates tracking, generate new observed parameter；
S32. the above steps are repeated.
2. DFIG low voltage traversing control method under the unbalance voltage according to claim 1 based on fuzzy active disturbance rejection,
It is characterized in that, e in the fuzzy control table1,e2Domain is { -3, -2, -1,0,1,2,3 }.
3. DFIG low voltage traversing control method under the unbalance voltage according to claim 1 based on fuzzy active disturbance rejection, institute
State △ β03Domain are as follows: { -0.3, -0.2, -0.1,0,0.1,0.2,0.3 }.△β04Domain are as follows: -0.06, -0.04, -
0.02,0.02,0.04,0.06}。
4. DFIG low voltage traversing control method under the unbalance voltage according to claim 1 based on fuzzy active disturbance rejection,
It is characterized in that, the S1 step DFIG model formation is as follows:
Voltage equation in dq+, dq- coordinate system are as follows:
In formula, UsAnd UrFor stator and rotor voltage, ψ is magnetic linkage, ω1For angular speed, ωslipFor slip angular velocity, RsAnd RrTo determine,
Rotor resistance；
In dq+,dq-DFIG flux linkage equations in coordinate system are as follows:
In formula, Ψsd+, Ψsq+, Ψsd-, Ψsq-, Ψrd+, Ψrq+, Ψrd-, Ψrq-For stator, the d of rotor flux+,q+,d-,q-Axis
Component Ls、LrFor stator and rotor self-induction, LmFor rotor mutual inductance.
5. DFIG low voltage traversing control method under the unbalance voltage according to claim 1 based on fuzzy active disturbance rejection,
It is characterized in that, the fuzzy Active Disturbance Rejection Control is that double-current inner ring obscures Active Disturbance Rejection Control.
6. a kind of DFIG system, which is characterized in that DFIG system controller is using described in claim 1-3 any claim
DFIG low voltage traversing control method under unbalance voltage based on fuzzy active disturbance rejection.
7. DFIG system according to claim 4, which is characterized in that DFIG system stator is connect with power grid, and rotor is by turning
Sub- side converter is connect with power grid.
8. DFIG system according to claim 4, which is characterized in that DFIG system controller will be inputted by Nonlinear Tracking Differentiator
Signal decomposition makes system non-overshoot at the product of approximate quantity and quantity of state and step-length；Each state is received by expansion observer to become
The observation of amount and the observation of system disturbance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811256506.3A CN109599889B (en) | 2018-10-25 | 2018-10-25 | Fuzzy active disturbance rejection based ride-through control method and system under unbalanced voltage |
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| CN112003321A (en) * | 2020-08-11 | 2020-11-27 | 宝鸡文理学院 | Low-voltage ride through control method for dynamic resistor of double-feeder rotor string |
| CN113141024A (en) * | 2021-04-22 | 2021-07-20 | 太原理工大学 | DFIG rotor side converter fault ride-through control method adopting additional compensation term |
| CN114928281A (en) * | 2022-04-21 | 2022-08-19 | 合肥工业大学 | Voltage control type doubly-fed wind turbine generator fault ride-through method based on improved active disturbance rejection |
| CN115036971A (en) * | 2022-06-21 | 2022-09-09 | 淮阴工学院 | Robust control strategy for island microgrid inverter based on fuzzy observer |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112003321A (en) * | 2020-08-11 | 2020-11-27 | 宝鸡文理学院 | Low-voltage ride through control method for dynamic resistor of double-feeder rotor string |
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| CN115036971A (en) * | 2022-06-21 | 2022-09-09 | 淮阴工学院 | Robust control strategy for island microgrid inverter based on fuzzy observer |
| CN115036971B (en) * | 2022-06-21 | 2024-06-11 | 淮阴工学院 | Island micro-grid inverter robust control method based on fuzzy observer |
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