CN111064409A - Self-adaptive current control method with rotor position observation and multi-parameter identification - Google Patents

Self-adaptive current control method with rotor position observation and multi-parameter identification Download PDF

Info

Publication number
CN111064409A
CN111064409A CN202010016931.6A CN202010016931A CN111064409A CN 111064409 A CN111064409 A CN 111064409A CN 202010016931 A CN202010016931 A CN 202010016931A CN 111064409 A CN111064409 A CN 111064409A
Authority
CN
China
Prior art keywords
axis
current
gamma
delta
observation
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
CN202010016931.6A
Other languages
Chinese (zh)
Inventor
黄允凯
姚宇
彭飞
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.)
Southeast University
Liyang Research Institute of Southeast University
Original Assignee
Southeast 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 Southeast University filed Critical Southeast University
Priority to CN202010016931.6A priority Critical patent/CN111064409A/en
Publication of CN111064409A publication Critical patent/CN111064409A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/22—Current control, e.g. using a current control loop
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
    • H02P21/16—Estimation of constants, e.g. the rotor time constant
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
    • H02P21/18—Estimation of position or speed
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P6/00—Arrangements for controlling synchronous motors or other dynamo-electric motors using electronic commutation dependent on the rotor position; Electronic commutators therefor
    • H02P6/14—Electronic commutators
    • H02P6/16—Circuit arrangements for detecting position
    • H02P6/18—Circuit arrangements for detecting position without separate position detecting elements
    • H02P6/182—Circuit arrangements for detecting position without separate position detecting elements using back-emf in windings
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P6/00—Arrangements for controlling synchronous motors or other dynamo-electric motors using electronic commutation dependent on the rotor position; Electronic commutators therefor
    • H02P6/14—Electronic commutators
    • H02P6/16—Circuit arrangements for detecting position
    • H02P6/18—Circuit arrangements for detecting position without separate position detecting elements
    • H02P6/183—Circuit arrangements for detecting position without separate position detecting elements using an injected high frequency signal
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2203/00—Indexing scheme relating to controlling arrangements characterised by the means for detecting the position of the rotor
    • H02P2203/03—Determination of the rotor position, e.g. initial rotor position, during standstill or low speed operation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2203/00—Indexing scheme relating to controlling arrangements characterised by the means for detecting the position of the rotor
    • H02P2203/11—Determination or estimation of the rotor position or other motor parameters based on the analysis of high frequency signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Motors That Do Not Use Commutators (AREA)

Abstract

The invention discloses a self-adaptive current control method with rotor position observation and multi-parameter identification, which comprises the following specific steps: the system enters interruption and current sampling, a current reference value is calculated, and a current error signal is obtained by inputting the current reference value into a current error calculation module; using the current error signal as an inductance identification module, a resistance identification module,γShaft counter-potential observation module andδthe input of the shaft counter-potential observation module is calculated to obtain an inductance identification value and a resistance identification valueIdentification value,γObserved value of axial back electromotive force,δAn axis back emf observation; will be provided withγA shaft,δThe shaft back electromotive force observation value is used as the input of a permanent magnetic flux linkage calculation module and a phase-locked loop, and a calculation value of the permanent magnetic flux linkage and the position of a tracking rotor are calculated; and (4) working the current controller based on full-state feedback, updating the PWM duty ratio, ending interruption, and waiting for next triggering. The invention can realize multi-parameter identification under the condition of no position sensor, so that the motor angle observation has strong robustness to the motor parameter change, and the absolute accuracy of the motor angle observation is ensured.

Description

Self-adaptive current control method with rotor position observation and multi-parameter identification
Technical Field
The invention relates to a self-adaptive current control method with rotor position observation and multi-parameter identification, in particular to a multi-parameter identification and position-sensor-free control method suitable for a surface-mounted permanent magnet synchronous motor, and belongs to the technical field of permanent magnet synchronous motor control.
Background
In a traditional permanent magnet synchronous motor control scheme, a current controller, a rotor position observer and a multi-parameter identification module need to be independently and separately designed, the process is complicated, multi-parameter identification without a position sensor is considered to be based on a recursive least square method, and the stability and the parameter convergence property of the multi-parameter identification cannot be guaranteed; the rotor position observer based on the parameter model is extremely sensitive to parameter perturbation, and the position observation of the rotor position observer is greatly influenced by parameter change.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method overcomes the defects of the prior art and has the capability of simultaneously realizing current control, rotor position observation and multi-parameter identification.
The invention adopts the following technical scheme for solving the technical problems:
an adaptive current control method with rotor position observation and multi-parameter identification comprises the following steps:
step 1, sampling gamma-axis and delta-axis currents after a permanent magnet synchronous motor control system is interrupted to obtain gamma-axis actual current iγ(k) And delta axis actual current iδ(k)；
Step 2, calculating a gamma axis current reference value iγ_ref(k) And derivative term thereof
Figure BDA0002359240660000011
Calculating a delta axis current reference value iδ_ref(k) And derivative term thereof
Figure BDA0002359240660000012
In order to meet the self-adaptive continuous excitation condition of the system, a high-frequency current signal is injected into a gamma axis;
step 3, the actual current i of the gamma axis is measuredγ(k) And a gamma axis current reference value iγ_ref(k) The input current error calculation module calculates and obtains a current error signal e under a gamma axisγ(k) Let the delta axis actual current iδ(k) And delta axis current reference value iδ_ref(k) The input current error calculation module calculates and obtains a current error signal e under a delta axisδ(k)；
Step 4, current error signal e under the gamma axis is processedγ(k) As the input of an inductance identification module, a resistance identification module and a gamma axis counter electromotive force observation module, the current error signal e under the delta axis is usedδ(k) The calculated inductance identification value is used as the input of an inductance identification module, a resistance identification module and a delta-axis counter-electromotive force observation module
Figure BDA0002359240660000021
Resistance identification value
Figure BDA0002359240660000022
Gamma-axis back-emf observations
Figure BDA0002359240660000023
Delta axis back emf observations
Figure BDA0002359240660000024
The inductance identification module, the resistance identification module, the gamma axis counter electromotive force observation module and the delta axis counter electromotive force observation module correspond to the calculation formulas as follows:
Figure BDA0002359240660000025
Figure BDA0002359240660000026
Figure BDA0002359240660000027
Figure BDA0002359240660000028
wherein k isR、kL、kλThe gain coefficients of resistance identification, inductance identification and gamma delta axis counter electromotive force observation are normal numbers respectively; omega (k) is the electrical angular frequency of the motor; k represents the k time; superscript · denotes derivative;
step 5, observing the gamma axis counter electromotive force
Figure BDA0002359240660000029
Delta axis back emf observations
Figure BDA00023592406600000210
The calculation value of the permanent magnetic flux linkage is obtained through calculation as the input of the permanent magnetic flux linkage calculation module; observing the gamma axis back electromotive force
Figure BDA00023592406600000211
Delta axis back emf observations
Figure BDA00023592406600000212
As the input of a phase-locked loop, extracting the angle information of a rotor to realize the control without a position sensor;
step 6, the gamma axis current reference value iγ_ref(k) Delta axis current reference value iδ_ref(k) Current error signal e under gamma axisγ(k) Delta axis current error signal eδ(k) The inductance identification value
Figure BDA00023592406600000213
Resistance identification value
Figure BDA00023592406600000214
Gamma-axis back-emf observations
Figure BDA00023592406600000215
Delta axis back emf observations
Figure BDA00023592406600000216
As the input of the current controller of the self-adaptive all-state feedback, the gamma axis modulation voltage u is obtained by calculationγc(k) And delta axis modulation voltage uδc(k) The calculation formula is as follows:
Figure BDA00023592406600000217
Figure BDA00023592406600000218
wherein k iseIs a current error gain, and keIs a normal number;
step 7, modulating the gamma axis voltage uγc(k) And delta axis modulation voltage uδc(k) Inputting the current signal into a PWM modulator for modulation, updating the PWM duty ratio, ending interruption, and waiting for the next interruption trigger.
As a preferable scheme of the present invention, the frequency of the high-frequency current signal in step 2 is 2-3 times of the electrical frequency of the permanent magnet synchronous motor, the electrical frequency of the permanent magnet synchronous motor is ω (k)/(2 pi), and ω (k) is the electrical angular frequency of the motor.
As a preferred embodiment of the present invention, the derivative term of step 2
Figure BDA0002359240660000031
And derivative term
Figure BDA0002359240660000032
All are calculated by adopting a backward Euler mode.
As a preferable scheme of the present invention, the calculation value of the permanent magnetic flux linkage in step 5 is calculated by the following formula:
Figure BDA0002359240660000033
wherein the content of the first and second substances,
Figure BDA0002359240660000034
calculating the value of permanent magnetic flux linkage;
Figure BDA0002359240660000035
is a gamma axis back emf observation;
Figure BDA0002359240660000036
is a delta axis back emf observation; omega (k) is the electrical angular frequency of the motor; k denotes the k time.
As a preferred embodiment of the present invention, the modulation method in step 7 is SPWM or SVPWM.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
1. the self-adaptive current control method has the capability of simultaneously realizing current control, rotor position observation and multi-parameter identification.
2. The self-adaptive current control method can ensure that the rotor position observation has strong robustness to parameter change and absolute accuracy.
3. The self-adaptive current control method can ensure the stability and convergence property of multi-parameter identification under the control of no position sensing.
Drawings
FIG. 1 is an overall architecture diagram of an adaptive current control method with rotor position observation and multi-parameter identification according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Fig. 1 is a general architecture diagram of an adaptive current control method with rotor position observation and multi-parameter identification according to the present invention. The permanent magnet synchronous motor control system comprises the following modules: the device comprises a current error calculation module 1, an inductance identification module 2, a resistance identification module 3, a gamma axis counter electromotive force observation module 4, a delta axis counter electromotive force observation module 5, a permanent magnetic linkage calculation module 6, a phase-locked loop 7 and a self-adaptive full-state feedback current controller 8.
The input of the inductance identification module, the resistance identification module, the gamma axis counter-electromotive force observation module and the delta axis counter-electromotive force observation module is current error signals under gamma and delta axes, and the stability of the current error signals is ensured by the designed self-adaptive rate and the selected Lyapunov function.
The self-adaptive rate is designed as follows:
Figure BDA0002359240660000041
Figure BDA0002359240660000042
Figure BDA0002359240660000043
Figure BDA0002359240660000044
wherein k isR、kL、kλThe gain coefficients of resistance identification, inductance identification and back emf observation under the gamma delta axis are all normal numbers.
Figure BDA0002359240660000045
Respectively representing a resistance identification value, an inductance identification value, a counter electromotive force observation value under a gamma axis and a counter electromotive force observation value under a delta axis; e.g. of the typeγ(k) Is a current error signal in the gamma axis, eδ(k) Is the current error signal in the delta axis; i.e. iγ(k)、iγ_ref(k)、iδ(k) And iδ_ref(k) The gamma axis actual current, the gamma axis current reference value, the delta axis actual current and the delta axis current reference value are respectively.
The chosen Lyapunov function is as follows:
Figure BDA0002359240660000046
wherein V is the selected Lyapunov function, L is the motor inductance,
Figure BDA0002359240660000047
the method comprises the following steps of respectively identifying a resistance identification error, an inductance identification error, a counter electromotive force observation error under a gamma axis and a counter electromotive force observation error under a delta axis.
Under the above adaptive rate, the derivative of the lyapunov function is:
Figure BDA0002359240660000051
it is obvious that
Figure BDA0002359240660000052
Negative determination, therefore the designed adaptive current control method with rotor position observation and multi-parameter identification is stable.
The input of the permanent magnetic flux linkage calculation module is gamma and delta axis back electromotive force obtained by observation, and the calculated value of the permanent magnetic flux linkage is obtained by the following formula:
Figure BDA0002359240660000053
wherein the content of the first and second substances,
Figure BDA0002359240660000054
and omega (k) is the electrical angular frequency of the motor.
The phase-locked loop inputs the back electromotive forces of gamma and delta axes obtained by observation, wherein the back electromotive forces comprise rotor angle error information, and the rotor angle information is extracted through the phase-locked loop so as to realize the control without a position sensor.
The flow of the self-adaptive current control method of the invention is as follows:
s1: the interruption begins, and enters the main program of the algorithm
S11: the system is interrupted and current sampling is carried out to obtain the actual current i of the gamma axisγ(k) And delta axis actual current iδ(k)；
S12: calculating a current reference value iγ_ref(k)、iδ_ref(k) And derivative terms thereof, i to satisfy the adaptive continuous excitation conditionγ_ref(k) Adding high-frequency signals, wherein the frequency is 2-3 times of the electrical frequency of the motor generally; the derivative term can be approximately processed in a backward Euler mode;
s13: the input current error calculation module obtains a current error signal.
S2: counter-electromotive force observer and each parameter identification module work
S21: the current error signal e under the gamma axisγ(k) As the input of an inductance identification module, a resistance identification module and a gamma axis counter electromotive force observation module, the current error signal e under the delta axis is usedδ(k) The calculated inductance identification value is used as the input of an inductance identification module, a resistance identification module and a delta-axis counter-electromotive force observation module
Figure BDA0002359240660000055
Resistance identification value
Figure BDA0002359240660000056
Gamma-axis back-emf observations
Figure BDA0002359240660000057
Delta axis back emf observations
Figure BDA0002359240660000058
S22: the back electromotive force under the gamma and delta axes obtained by observation is used as the input of the permanent magnetic flux linkage calculation module and the phase-locked loop to calculate the calculated value of the permanent magnetic flux linkage
Figure BDA0002359240660000061
And tracking the rotor position;
s3: the current controller works based on the full-state feedback to calculate uγc(k) And uδc(k) The calculation formula is as follows:
Figure BDA0002359240660000062
Figure BDA0002359240660000063
will uγc(k) And uδc(k) Inputting the Pulse Width Modulation (PWM) signal into a PWM modulator, updating the PWM duty ratio, wherein the debugging mode can be SPWM (Sinusoidal Pulse Width Modulation) or Space Vector Pulse Width Modulation (SVPWM);
s4: and (5) ending the interruption, and waiting for the next interruption trigger.
The above embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modifications made on the basis of the technical scheme according to the technical idea of the present invention fall within the protection scope of the present invention.

Claims (5)

1. An adaptive current control method with rotor position observation and multi-parameter identification is characterized by comprising the following steps:
step 1, sampling gamma-axis and delta-axis currents after a permanent magnet synchronous motor control system is interrupted to obtain gamma-axis actual current iγ(k) And delta axis actual current iδ(k)；
Step 2, calculating a gamma axis current reference value iγ_ref(k) And derivative term thereof
Figure FDA0002359240650000011
Calculating a delta axis current reference value iδ_ref(k) And derivative term thereof
Figure FDA0002359240650000012
In order to meet the self-adaptive continuous excitation condition of the system, a high-frequency current signal is injected into a gamma axis;
step 3, the actual current i of the gamma axis is measuredγ(k) And a gamma axis current reference value iγ_ref(k) The input current error calculation module calculates and obtains a current error signal e under a gamma axisγ(k) Let the delta axis actual current iδ(k) And delta axis current reference value iδ_ref(k) Input deviceThe current error calculation module calculates and obtains a current error signal e under a delta axisδ(k)；
Step 4, current error signal e under the gamma axis is processedγ(k) As the input of an inductance identification module, a resistance identification module and a gamma axis counter electromotive force observation module, the current error signal e under the delta axis is usedδ(k) The calculated inductance identification value is used as the input of an inductance identification module, a resistance identification module and a delta-axis counter-electromotive force observation module
Figure FDA0002359240650000013
Resistance identification value
Figure FDA0002359240650000014
Gamma-axis back-emf observations
Figure FDA0002359240650000015
Delta axis back emf observations
Figure FDA0002359240650000016
The inductance identification module, the resistance identification module, the gamma axis counter electromotive force observation module and the delta axis counter electromotive force observation module correspond to the calculation formulas as follows:
Figure FDA0002359240650000017
Figure FDA0002359240650000018
Figure FDA0002359240650000019
Figure FDA00023592406500000110
wherein k isR、kL、kλRespectively is resistance identificationThe gain coefficients of inductance identification and counter-electromotive force observation under the gamma delta axis are all normal numbers; omega (k) is the electrical angular frequency of the motor; k represents the k time; superscript · denotes derivative;
step 5, observing the gamma axis counter electromotive force
Figure FDA00023592406500000111
Delta axis back emf observations
Figure FDA00023592406500000112
The calculation value of the permanent magnetic flux linkage is obtained through calculation as the input of the permanent magnetic flux linkage calculation module; observing the gamma axis back electromotive force
Figure FDA00023592406500000113
Delta axis back emf observations
Figure FDA00023592406500000114
As the input of a phase-locked loop, extracting the angle information of a rotor to realize the control without a position sensor;
step 6, the gamma axis current reference value iγ_ref(k) Delta axis current reference value iδ_ref(k) Current error signal e under gamma axisγ(k) Delta axis current error signal eδ(k) The inductance identification value
Figure FDA0002359240650000021
Resistance identification value
Figure FDA0002359240650000022
Gamma-axis back-emf observations
Figure FDA0002359240650000023
Delta axis back emf observations
Figure FDA0002359240650000024
As the input of the current controller of the self-adaptive all-state feedback, the gamma axis modulation voltage u is obtained by calculationγc(k) And delta axis modulation voltageuδc(k) The calculation formula is as follows:
Figure FDA0002359240650000025
Figure FDA0002359240650000026
wherein k iseIs a current error gain, and keIs a normal number;
step 7, modulating the gamma axis voltage uγc(k) And delta axis modulation voltage uδc(k) Inputting the current signal into a PWM modulator for modulation, updating the PWM duty ratio, ending interruption, and waiting for the next interruption trigger.
2. The adaptive current control method with rotor position observation and multi-parameter identification according to claim 1, wherein the frequency of the high-frequency current signal in step 2 is 2-3 times of the electrical frequency of the permanent magnet synchronous motor, the electrical frequency of the permanent magnet synchronous motor is ω (k)/(2 pi), and ω (k) is the electrical angular frequency of the motor.
3. The adaptive current control method with rotor position observation and multi-parameter identification as claimed in claim 1, wherein step 2 the derivative term
Figure FDA0002359240650000027
And derivative term
Figure FDA0002359240650000028
All are calculated by adopting a backward Euler mode.
4. The adaptive current control method with rotor position observation and multi-parameter identification according to claim 1, wherein the calculation value of the permanent magnet flux linkage in step 5 is calculated by the following formula:
Figure FDA0002359240650000029
wherein the content of the first and second substances,
Figure FDA00023592406500000210
calculating the value of permanent magnetic flux linkage;
Figure FDA00023592406500000211
is a gamma axis back emf observation;
Figure FDA00023592406500000212
is a delta axis back emf observation; omega (k) is the electrical angular frequency of the motor; k denotes the k time.
5. The adaptive current control method with rotor position observation and multi-parameter identification according to claim 1, wherein the modulation mode of step 7 is SPWM or SVPWM.
CN202010016931.6A 2020-01-08 2020-01-08 Self-adaptive current control method with rotor position observation and multi-parameter identification Pending CN111064409A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010016931.6A CN111064409A (en) 2020-01-08 2020-01-08 Self-adaptive current control method with rotor position observation and multi-parameter identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010016931.6A CN111064409A (en) 2020-01-08 2020-01-08 Self-adaptive current control method with rotor position observation and multi-parameter identification

Publications (1)

Publication Number Publication Date
CN111064409A true CN111064409A (en) 2020-04-24

Family

ID=70306650

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010016931.6A Pending CN111064409A (en) 2020-01-08 2020-01-08 Self-adaptive current control method with rotor position observation and multi-parameter identification

Country Status (1)

Country Link
CN (1) CN111064409A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115411995A (en) * 2022-07-15 2022-11-29 重庆大学 Offline parameter identification method for permanent magnet synchronous motor

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110061675A (en) * 2019-05-30 2019-07-26 东南大学 A kind of permanent magnet synchronous motor full speed range method for controlling position-less sensor
CN110198150A (en) * 2019-06-14 2019-09-03 浙江工业大学 A kind of permanent magnet synchronous motor multi-parameter on-line identification method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110061675A (en) * 2019-05-30 2019-07-26 东南大学 A kind of permanent magnet synchronous motor full speed range method for controlling position-less sensor
CN110198150A (en) * 2019-06-14 2019-09-03 浙江工业大学 A kind of permanent magnet synchronous motor multi-parameter on-line identification method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
YU YAO等: "Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control", 《IEEE TRANSACTIONS ON POWER ELECTRONICS》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115411995A (en) * 2022-07-15 2022-11-29 重庆大学 Offline parameter identification method for permanent magnet synchronous motor

Similar Documents

Publication Publication Date Title
CN109428525B (en) Parameter self-correction-based maximum torque current ratio control method for permanent magnet synchronous motor
Haque et al. A sensorless initial rotor position estimation scheme for a direct torque controlled interior permanent magnet synchronous motor drive
Piippo et al. Adaptation of motor parameters in sensorless PMSM drives
CN110441643B (en) Inverter power tube open circuit fault diagnosis method in permanent magnet synchronous motor control system
Bolognani et al. Extended-range PMSM sensorless speed drive based on stochastic filtering
EP1653601B1 (en) Method for estimating the rotor speed and position of a permanent magnet synchronous machine
JP4928855B2 (en) Sensorless control device for synchronous machine
CN115173774B (en) Permanent magnet synchronous motor sensorless control method and system
Luukko et al. Estimation of the flux linkage in a direct-torque-controlled drive
CN107395083A (en) PMLSM servo-control system Position And Velocity methods of estimation and device
CN103956953A (en) Sliding-mode observer based brushless direct-current motor state estimation method
CN110649851B (en) Multi-parameter decoupling online identification method for asynchronous motor
CN111064409A (en) Self-adaptive current control method with rotor position observation and multi-parameter identification
CN104836501B (en) A kind of method of permasyn morot on-line parameter identification
CN109873589A (en) A kind of permanent-magnetic synchronous motor rotor zero testing method
CN112083349B (en) Method for diagnosing turn-to-turn short circuit fault of stator winding of permanent magnet synchronous motor
CN110661466A (en) Adaptive observer based on quasi-proportional resonance and permanent magnet synchronous motor position estimation method
CN114844396B (en) IPMSM (intelligent power management System) MTPA (maximum Transmission Power Amplifier) control method without position sensor
CN105915144B (en) A kind of permanent magnet synchronous motor rotary speed tracing control method
CN113824364A (en) Method, system, equipment and medium for flux weakening control of permanent magnet synchronous motor
Comanescu Rotor position estimation of PMSM by sliding mode EMF observer under improper speed
CN108155841B (en) Sensorless speed estimation method for induction motor
CN111082723B (en) Permanent magnet motor electromagnetic parameter identification method used under condition of no position sensor
CN110149082B (en) Position-sensor-free control method under condition of asymmetric three-phase inductance of motor
Comanescu A sliding mode speed and rotor position estimator for PMSM

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
TA01 Transfer of patent application right

Effective date of registration: 20201207

Address after: 213300 room 428, building a, 218 Hongkou Road, Kunlun Street, Liyang City, Changzhou City, Jiangsu Province (in Zhongguancun Science and Technology Industrial Park, Jiangsu Province)

Applicant after: Liyang Research Institute of Southeast University

Applicant after: SOUTHEAST University

Address before: Four pailou Nanjing Xuanwu District of Jiangsu Province, No. 2 210096

Applicant before: SOUTHEAST University

TA01 Transfer of patent application right
RJ01 Rejection of invention patent application after publication

Application publication date: 20200424

RJ01 Rejection of invention patent application after publication