Finite-time speed regulation control for permanent magnet synchronous motor system

2017 ◽  
Author(s):  
Xiuping Chen ◽  
Haibo Du ◽  
Dongbo Chen
Keyword(s):  
Permanent Magnet ◽  
Finite Time ◽  
Motor System ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Speed Regulation

scholarly journals Finite-Time Chaos Control of a Complex Permanent Magnet Synchronous Motor System

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaobing Zhou ◽  
Murong Jiang ◽  
Xiaomei Cai
Keyword(s):  
Permanent Magnet ◽  
Finite Time ◽  
Motor System ◽  
Chaos Control ◽  
Control Strategies ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Complex Variables ◽  
Time Stability ◽  
Finite Time Stability

This paper investigates the finite-time chaos control of a permanent magnet synchronous motor system with complex variables. Based on the finite-time stability theory, two control strategies are proposed to realize stabilization of the complex permanent magnet synchronous motor system in a finite time. Two numerical simulations have been conducted to demonstrate the validity and feasibility of the theoretical analysis.

Research on chaos control of permanent magnet synchronous motor based on the synthetical sliding mode control of inverse system decoupling

2020 ◽  
pp. 107754632093649
Author(s):  
Zhang Rongyun ◽  
Gong Changfu ◽  
Shi Peicheng ◽  
Zhao Linfeng ◽  
Zheng Changsheng
Keyword(s):  
Sliding Mode Control ◽  
Permanent Magnet ◽  
Motor System ◽  
Chaos Control ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Inverse System ◽  
Switching Function ◽  
Mode Control

This article focuses on realizing the chaos control of a permanent magnet synchronous motor by combining a pseudo-linear inverse system of the permanent magnet synchronous motor and synthetical sliding mode control. First, the permanent magnet synchronous motor dimensionless nonlinear mathematical model is established, and its chaos is analyzed by the Lyapunov exponent method. The permanent magnet synchronous motor parameter range when chaos appears is obtained. Then, the inverse system decoupling method is used to analyze the reversibility of the permanent magnet synchronous motor system, and the permanent magnet synchronous motor inverse system is obtained, which is compounded with the original system into a pseudo-linear inverse system that consists of two independent subsystems, including a first-order d-axis current system and a second-order rotational speed system, to decouple the permanent magnet synchronous motor system. Third, the first-order d-axis subsystem is controlled by sliding mode control with a hyperbolic tangent function as the switching function, and the second-order speed subsystem is controlled by super-twisting sliding mode control with a hyperbolic tangent function as the switching function, which is called the synthetical sliding mode control. The permanent magnet synchronous motor pseudo-linear inverse system is controlled by using the synthetical sliding mode to realize the chaos control of the permanent magnet synchronous motor. Finally, three kinds of permanent magnet synchronous motor chaos control systems are established in MATLAB/Simulink software, and the experimental tests are implemented. The results show that the proposed permanent magnet synchronous motor chaos control system has good performance, which can effectively eliminate chattering in sliding mode control and control chaos in the permanent magnet synchronous motor system.

scholarly journals Improved Sliding Mode Control for Permanent Magnet Synchronous Motor Speed Regulation System

2018 ◽  
Vol 8 (12) ◽  
pp. 2491 ◽  
Author(s):  
Junbing Qian ◽  
Chuankun Ji ◽  
Nan Pan ◽  
Jing Wu
Keyword(s):  
Sliding Mode Control ◽  
Permanent Magnet ◽  
Sliding Mode ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Regulation System ◽  
Mode Control ◽  
Speed Regulation ◽  
Speed Fluctuations

Due to advantages such as high speed, high accuracy, low maintenance and high reliability, permanent magnet synchronous motor (PMSM) servo systems have been employed in many fields. In some cases, for example, speed fluctuations caused by load mutation would restrict the control stability, thereby limiting the usefulness of PMSM in high-precision applications. The speed regulation problem of PMSM servo control systems is discussed in this paper. A sliding mode disturbance control is developed in the vector control system to improve tracking performance of the PMSM system in order to suppress the speed fluctuations. The integration of sliding mode control and the proportional plus integral (PI) control can improve the performance of the closed-loop system and attenuate disturbances to a great extent. The proposed method can effectively improve the robustness and response speed of the system. Simulation and experimental analyses are conducted to demonstrate the superior properties of the proposed control method.

scholarly journals Realization of the Sensorless Permanent Magnet Synchronous Motor Drive Control System with an Intelligent Controller

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 365 ◽  
Author(s):  
Hung-Khong Hoai ◽  
Seng-Chi Chen ◽  
Hoang Than
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Intelligent Controller ◽  
Speed Regulation ◽  
Drive Control ◽  
Tracking Response

This paper presents the sensorless control algorithm for a permanent magnet synchronous motor (PMSM) drive system with the estimator and the intelligent controller. The estimator is constructed on the novel sliding mode observer (SMO) in combination with a phase-locked loop (PLL) to estimate the position and speed of the rotor. The intelligent controller is a radial basis function neural network (RBFNN)-based self-tuning PID (Proportional-Integral-Derivative) controller, applied to the velocity control loop of the PMSM drive control system to adapt strongly to dynamic characteristics during the operation with an external load. The I-f startup strategy is adopted to accelerate the motor from standstill, then switches to the sensorless mode smoothly. The control algorithm program is based on MATLAB and can be executed in simulations and experiments. The control system performance is verified on an experimental platform with various speeds and the dynamic load, in which the specified I-f startup mode and sensorless mode, inspected by tracking response and speed regulation. The simulation and experimental results demonstrate that the proposed method has worked successfully. The motor control system has smooth switching, good tracking response, and robustness against disturbance.

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