A Dynamic Decoupling Control Method for PMSM of Brake-by-Wire System Based on Parameters Estimation

2021 ◽  
pp. 1-11
Author(s):  
Zheng Zhu ◽  
Xiangyu Wang ◽  
jie Yan ◽  
Liang Li ◽  
Qiong Wu
Keyword(s):  
Control Method ◽  
Parameters Estimation ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Wire System

Research on Dynamic Decoupling Control Method of Three-phase Bearingless Induction Motor

2014 ◽  
Vol 7 (5) ◽  
pp. 77-86 ◽  
Author(s):  
Wen-shao Bu ◽  
Chun-xiao Lu ◽  
Cong-lin Zu ◽  
Xin-wen Niu
Keyword(s):  
Induction Motor ◽  
Control Method ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Three Phase

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Fuzzy Inverse Model

2014 ◽  
Vol 529 ◽  
pp. 524-528
Author(s):  
Zhang Li ◽  
Huang Qiu Zhu ◽  
Run Zhang Zeng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Inverse Model ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Control System

For the bearingless synchronous reluctance motor (BSRM) is a multivariable, strong coupling, multi-input and multi-output system, based on the adaptive inverse control theory, a decoupling control method based on the T-S fuzzy inverse model identification is put forward in this paper. According to the input and output information of the system, a fuzzy inverse model of the motor control system is established, then making the inverse model and the original control system in series forms pseudo linear hybrid system to realize the approximate linearization and dynamic decoupling of the motor control system. Building the composite system and proceeding research in the Matlab/Simulink environment, the simulation results show that the control strategy can realize dynamic decoupling among the electromagnetic torque subsystem and the radial suspension force subsystem and among thex- andy-direction of the suspension force, and with excellent static and dynamic performance and adaptive ability.

scholarly journals Composite Decoupling Control of PMSM Based on Extended State Observer

2021 ◽  
Vol 2137 (1) ◽  
pp. 012003
Author(s):  
Hongliang Yan ◽  
Yan Geng ◽  
Weizhi Zhai
Keyword(s):  
Control Method ◽  
Voltage Drop ◽  
Permanent Magnet Synchronous Motor ◽  
State Observer ◽  
Extended State Observer ◽  
Decoupling Control ◽  
Current Loop ◽  
Extended State ◽  
Decoupling Method ◽  
Dynamic Decoupling

Abstract In order to solve the problem that the dynamic decoupling performance of the traditional decoupling method is reduced due to the parameter disturbance of permanent magnet synchronous motor (PMSM), a composite decoupling control method based on extended state observer (ESO) is proposed in this paper. In this method, voltage drop across stator resistance, cross coupling terms, internal uncertains and external load torque are taken as disturbances. The disturbance is observed in real time by using the extended state observer and compensated to the output end of the current controller, so as to realize the current decoupling control of the system and achieve the purpose of precise control of the current loop. The results of theoretical analysis show and simulation show that the composite decoupling control strategy based on extended state observer has better dynamic decoupling effect.

Dynamic Decoupling Control of Electro-Spindle Supported by AC Hybrid Magnetic Bearings Based on Neural Network Inverse Method

2010 ◽  
Vol 97-101 ◽  
pp. 2716-2719 ◽  
Author(s):  
Wei Yu Zhang ◽  
Huang Qiu Zhu ◽  
Ze Bin Yang
Keyword(s):  
Neural Network ◽  
System Theory ◽  
Control Method ◽  
Coupled System ◽  
Original System ◽  
Rotor System ◽  
Inverse System ◽  
Decoupling Control ◽  
Magnetic Bearings ◽  
Dynamic Decoupling

A dynamic decoupling control method based on neural network inverse system theory is developed for the 5 degrees of freedom (5-DOF) rotor system. The rotor system suspended by AC hybrid magnetic bearings (HMBs) is a multivariable, nonlinear and strong coupled system. Firstly, the configuration of 5-DOF HMBs and the mathematical equations of suspension forces are set up. Secondly, it is demonstrated the system is reversible by analyzing mathematical model. On the basis, the neural network inverse system which is composed of the static neural networks and integrators, and original system are in series to constitute pseudo linear systems. Finally, linear system theory is applied to these linearization subsystems for designing close-loop controllers. The simulation results show that this kind of control strategy can realize dynamic decoupling control, and control system obtains good dynamic and static performances.

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Neural Networks Inverse

2012 ◽  
Vol 150 ◽  
pp. 30-35
Author(s):  
Ze Bin Yang ◽  
Huang Qiu Zhu ◽  
Xiao Dong Sun ◽  
Tao Zhang
Keyword(s):  
Neural Networks ◽  
Control Method ◽  
Decoupling Control ◽  
Performance Simulation ◽  
Inverse Control ◽  
Linear Control Theory ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Static Performance ◽  
Simulation And Experiment

A novel decoupling control method based on neural networks inverse system is presented in this paper for a bearingless synchronous reluctance motor (BSRM) possessing the characteristics of multi-input-multi-output, nonlinearity, and strong coupling. The dynamic mathematical models are built, which are verified to be invertible. A controller based on neural network inverse is designed, which decouples the original nonlinear system to two linear position subsystems and an angular velocity subsystem. Furthermore, the linear control theory is applied to closed-loop synthesis to meet the desired performance. Simulation and experiment results show that the presented neural networks inverse control strategy can realize the dynamic decoupling of BSRM, and that the control system has fine dynamic and static performance.

Fault tolerant control method of dual steering actuator motors for steer-by-wire system

2015 ◽  
Vol 16 (6) ◽  
pp. 977-987 ◽  
Author(s):  
L. He ◽  
G. Y. Chen ◽  
H. Y. Zheng
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Steer By Wire ◽  
Wire System

Bilateral Control Method of Torque Drive/Angle Feedback Used for Steer-by-Wire System

2012 ◽  
Vol 5 (2) ◽  
pp. 479-485 ◽  
Author(s):  
Xiang Wang ◽  
Changfu Zong ◽  
Haitao Xing ◽  
Rufei Hu ◽  
Xujun xie
Keyword(s):  
Control Method ◽  
Bilateral Control ◽  
Steer By Wire ◽  
Wire System
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