scholarly journals Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method

2019 ◽  
Vol 37 (4) ◽  
pp. 824-829
Author(s):  
Zhe Chen ◽  
Zhao Xue ◽  
Haiyi Fang ◽  
Guangzhao Luo
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
External Disturbance ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Mean Square ◽  
Motor Speed ◽  
Adaptive Inverse Control ◽  
Inverse Control

The classical feedback control method for the permanent-magnet synchronous motor cannot fulfill the dynamic requirement and anti-interference requirement at the same time. In this paper, an adaptive inverse control method with disturbance elimination is proposed based on the vector control including speed and current loops. It avoids the system instability and the anti-disturbance performance of the system can be enhanced as well. Firstly, the speed loop adopts the adaptive inverse controller possessing a feed forward control structure, and a normalized least-mean square filtering algorithm accelerates the speed error convergence. The inverse model of the approximately linearized system is obtained by modifying the weighting factor online. Secondly, in order to suppress and eliminate the influence of motor parameter perturbation and external disturbance on the control system, an extended state observer is designed to observe and compensate the disturbance of the system. Thus, the dynamic performance and anti-disturbance performance of the system can be improved simultaneously. Finally, the effectiveness of the proposed method is verified by experiment and simulation.

scholarly journals Current Control Methods for an Asymmetric Six-Phase Permanent Magnet Synchronous Motor

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 172 ◽  
Author(s):  
Zhihong Wu ◽  
Weisong Gu ◽  
Yuan Zhu ◽  
Ke Lu
Keyword(s):  
Permanent Magnet ◽  
Internal Model ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Current Control ◽  
Internal Model Control ◽  
Lms Algorithm ◽  
Least Mean Square ◽  
Model Control

Via the vector space decomposition (VSD) transformation, the currents in an asymmetric six-phase permanent magnet synchronous motor (ASP_PMSM) can be decoupled into three orthogonal subspaces. Control of α–β currents in α–β subspace is important for torque regulation, while control of x-y currents in x-y subspace can suppress the harmonics due to the dead time of converters and other nonlinear factors. The zero-sequence components in O1-O2 subspace are 0 due to isolated neutral points. In α–β subspace, a state observer is constructed by introducing the error variable between the real current and the internal model current based on the internal model control method, which can improve the current control performance compared to the traditional internal model control method. In x–y subspace, in order to suppress the current harmonics, an adaptive-linear-neuron (ADALINE)-based control algorithm is employed to generate the compensation voltage, which is self-tuned by minimizing the estimated current distortion through the least mean square (LMS) algorithm. The modulation technique to implement the four-dimensional current control based on the three-phase SVPWM is given. The experimental results validate the robustness and effectiveness of the proposed control method.

The Technology Study of Direct Torque Control Method for Permanent Magnet Synchronous Motor

2013 ◽  
Vol 341-342 ◽  
pp. 1013-1017
Author(s):  
Yi Ming Li ◽  
Wei Huang ◽  
Peng Jin ◽  
Jun Rong
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Technology Study ◽  
Loop Control ◽  
Actual Application

According to the analysis of mathematical model for permanent magnet synchronous motor (PMSM), direct torque control(DTC) technology is introduced to the control system of PMSM. The paper builds dual-closed loop control system of PMSM, and the outer loop is speed loop, the inner loop is flux and torque loop, at the same time, the paper makes simulation in Matlab/Simulink. The simulation results show that the DTC technology significantly improves the dynamic performances of PMSM, and the control system is no overshoot, and has small flux response comparing with the conventional control methods of PMSM. So the application of DTC technology in PMSM provides a new thoughtful way for PMSM control system designing and debugging in actual application.

Research of Permanent Magnet Synchronous Motor Speed Control System Based on DSP

2012 ◽  
Vol 468-471 ◽  
pp. 2891-2894 ◽  
Author(s):  
Hui Wang ◽  
Xue Ren Dong ◽  
Xiao Wei Yang ◽  
Feng Nan Liu
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Digital Signal Processor ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Speed Control ◽  
Synchronous Motor ◽  
Motor Speed ◽  
System Solution ◽  
Speed Control System

For requirements Permanent magnet synchronous motor (PMSM) speeds control, the digital signal processor (DSP) is used for speed control system of PMSM. By using space vector pulse width modulation (SVPWM) algorithm, system performance is improved, and system costs are reduced. In this paper, the principle of SVPWM is analyzed, and its implementation is described. Through the analysis of permanent magnet synchronous motor in a different coordinate system in the mathematical model system solution is presented, software design for system is described. A DSP-based PMSM speed control system is build, the system is analyzed in MATLAB simulation. That proves the feasibility of the system.

Simulation of Permanent Magnet Synchronous Motor Field Oriented Vector Control System

2014 ◽  
Vol 672-674 ◽  
pp. 1234-1237
Author(s):  
Wen Zhuo Chen ◽  
Xiao Yu Zhang ◽  
Xiao Mei Sui
Keyword(s):  
Control System ◽  
Vector Control ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Machine Model ◽  
Field Oriented Vector Control

This template illustrates the control system of permanent magnet synchronous motor(PMSM) which uses field oriented vector control(field oriented vector control). PMSM is a complex, strong coupling and nonlinear system. And field oriented vector control could provide good performance as well as the PI controller setted with well parameter matching. Whereas limited by the number of voltage vector, the other control method of PMSM, direct torque control, could not satisfy accurate control when the machine running with a low speed. So modulation of the whole system is built here to realize closed-loop field oriented vector control control by keeping id=0 , and the machine model and the transformation among different coordinate system are discussed. The system is verified effective and feasible.

Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor

2017 ◽  
Vol 36 (6) ◽  
pp. 1676-1689 ◽  
Author(s):  
Chao Zhang ◽  
Hong-Sen Yan
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Control Method ◽  
System Modeling ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Recursive Least Squares ◽  
Content Type ◽  
Inverse Control ◽  
Noise Disturbance

Purpose The purpose of this paper is to propose a new control strategy based on adaptive inverse control aiming at high performance control of permanent magnet synchronous motor (PMSM). Design/methodology/approach This scheme adopts the vector control with double closed-loop structure and introduces a multi-dimensional Taylor network (MTN) inverse control method into velocity-loop. First, the invertibility of PMSM’s mathematical model is proved. Second, a novel dynamic network (MTN) is presented, which has simple structure and faster computing speed. Besides, to realize the high-precision speed control, three MTNs are applied to achieve system modeling, inverse modeling and noise disturbance elimination which correspond to the function of the adaptive identifier, adaptive feed-forward controller and nonlinear adaptive filter, respectively. Findings This scheme is designed with the full consideration of the PMSM’s particularity. For the PMSM’s unknown dynamics and time-varying characteristics, the variable forgetting factor recursive least squares algorithm is adopted to improve identification ability, and the weight-elimination algorithm is used to remove redundant regression items in the MTN identifier and inverse controller. In addition, to reduce the influence arose from measurement noise and other stochastic factors, adaptive MTN filter is introduced to eliminate noise disturbance. The computational results show that the proposed scheme possesses excellent control performance and better robustness against the load disturbance. Originality/value The paper presents a new inverse control scheme with MTN which is practical and flexible, and the MTN-based control system is very promising for real-time applications.

Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor

2013 ◽  
Vol 303-306 ◽  
pp. 1204-1208 ◽  
Author(s):  
Bing Li ◽  
Yue Zhen Feng
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Regulation System ◽  
Pi Control ◽  
Adaptive Fuzzy ◽  
Speed Control System

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.

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