scholarly journals Sensorless Control of Permanent Magnet Synchronous Motors and EKF Parameter Tuning Research

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yong Zhang ◽  
Xu-Feng Cheng
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Permanent Magnet ◽  
Extended Kalman Filter ◽  
Simulation Analysis ◽  
Sensorless Control ◽  
Parameter Tuning ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Tuning Method

This paper concerns the parameter tuning and the estimated results postprocessing of the extended Kalman filter for the sensorless control application of permanent magnet synchronous motors. At first an extended Kalman filter parameter tuning method is proposed based on the theoretical and simulation analysis of extended Kalman filter parameters. Furthermore, a sensorless control system is proposed based on the parameter tuning method and the simulation analysis of extended Kalman filter estimation results in different reference speeds and different load torques. The proposed sensorless control system consists of two parts. The first one is a module to self-regulate extended Kalman filter parameters. The second part can correct the estimated speed and the estimated rotation angle based on the reference speed and the electromagnetic torque. Finally, simulation results are presented to verify the feasibility and validity of the proposed sensorless control system.

Applications of Extended Kalman Filter for Position Sensorless Control of Permanent Magnet Linear Synchronous Motor

2013 ◽  
Vol 834-836 ◽  
pp. 1240-1245 ◽  
Author(s):  
Wei Min Yang ◽  
Li Jiao Pan ◽  
Peng Fei Zheng ◽  
Yong Qiang He
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Permanent Magnet ◽  
Extended Kalman Filter ◽  
Sensorless Control ◽  
Synchronous Motor ◽  
Position Sensor ◽  
Linear Synchronous Motor ◽  
Close Loop Control ◽  
Position Sensorless

Control system with position sensor is susceptible to the severe environment such as high temperature, humidity and vibration, which reduce the stability of control system. Position sensorless control of permanent magnet linear synchronous motor need not position sensor so that it can use in abominable environment. According to three phases voltage and two phases current measured from motor, the position and speed of motors mover can be estimated directly based on extended Kalman filter algorithm which is a kind of recursive algorithm. So position sensorless close loop control of PMLSM can be realized.

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