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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 834-836)
• Pages: 1240-1245
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.834-836.1240
• Online since: October 2013
• Authors: Wei Min Yang*, Li Jiao Pan, Peng Fei Zheng, Yong Qiang He
• Keywords: EKF, PMLSM, Position Estimation, Position Sensorless Control

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