Control system of permanent magnet synchronous motor based on extended sliding mode state observer

Author(s):  
Fenglong Shen ◽  
Jianhui Wang ◽  
Lang Liang
Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 365 ◽  
Author(s):  
Hung-Khong Hoai ◽  
Seng-Chi Chen ◽  
Hoang Than

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.


2013 ◽  
Vol 462-463 ◽  
pp. 365-372
Author(s):  
Yu Quan Li ◽  
Zhen Zhang ◽  
Wei Wang ◽  
Xiao Gang Wang ◽  
Han Bo Zheng ◽  
...  

Sensorless control system for Permanent magnet synchronous motor (PMSM) has been widely used in many areas for its simple installing and easy realizing advantages. This paper mainly analysis sensorless control system of PMSM, estimate the angel of rotor and speed based on flux observation initially, PLL and state observer were used to obtain the accurate angle. Use Simulation toolbox design of MATLAB to implement the simulation of control system and analyze the simulation results. The results verify the correctness and feasibility flux observation method that used in paper.


2021 ◽  
Author(s):  
Wei Liu ◽  
Li Zhang ◽  
Guoying Ning ◽  
Yi Cheng ◽  
Guowei Xu

Abstract An improved integral sliding mode observer (SMO) is proposed for the double closed-loop control system of Surface-Mounted Permanent Magnet Synchronous Motor(SPMSM) in this paper. By observing the stator current, the extended back Electromotive Force(back-EMF)of the motor is estimated, and the position and angle of the rotor are obtained by using the Phase-Locked Loop (PLL) structure. The improved integrated SMO control system not only ensures the system to converge to the equilibrium point in finite time, but also reduces the steady-state error. A new exponential reaching law is also designed in which the sgn (s) of the constant velocity term is replaced by the sigmoid (s). For improving the reaching speed, the gain adaptive function is added to the exponential term of the approaching law to make its coefficient change with the system state. Simulation results compared with the traditional SMO show that the control system based on the improved SMO can reduce observation error, enhance robustness, and suppress chattering phenomenon.


2018 ◽  
Vol 10 (1) ◽  
pp. 168781401774766 ◽  
Author(s):  
Bingyou Liu

An improved extended state observer is designed to eliminate the influences of speed control for a permanent magnet synchronous motor. The improved extended state observer is designed based on a new nonlinear function. This function exhibits better continuity and derivability than previously available functions and can effectively reduce the high-frequency flutter phenomenon. The nonlinear dynamics, model uncertainty, and external disturbances of the permanent magnet synchronous motor speed control system are extended to a new state. The improved extended state observer is utilized to observe this state. The overtime variation of the permanent magnet synchronous motor speed control system can be predicted and compensated in real time by the improved extended state observer. Therefore, the improved extended state observer, which is designed based on the new nonlinear function, can eliminate the disturbances on the permanent magnet synchronous motor speed control system. Finally, simulation experiments are performed and results show that the permanent magnet synchronous motor speed control system with improved extended state observer exhibits better performances.


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