¹ School of Electrical Engineering and Automation, Henan polytechnic University, Jiao Zuo, China; Control Engineering Open Lab. of Key Subjects of Henan, Henan polytechnic University, Jiao Zuo, China
² School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China
³ School of Electrical Engineering and Automation, Henan polytechnic University, Jiao Zuo, China

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Abstract—Permanent Magnet Linear Synchronous Motor has been used widely in the industrial application and transportation system. However, a need of mechanical sensors is a drawback for its control system, which restricts the application range seriously. In order to solve the above drawback, the sensorless vector control method was proposed in the paper. The mathematic model was established for the sensorless vector control of PMLSM, so that it can provide the estimate parameters to realize the sensorless control. According to the extended kalman filter algorithm, the simulation experiment model was constructed to rectify the control performance by estimating the mover speed and position angular instead of the mechanical sensors. The mover speed, position angular and electrical magnet torque were obtained. It is showed that the estimating speed value and position angular value are almost similar as the actual value by using sensorless control method, although it has same disadvantages, such as complex algorithm and a large number of mathematical operations especially the matrix operation. Overall, we can know that the sensorless control method by using extended kalman filter algorithm can substitute the mechanical sensor mode, although it has some disadvatages.

Index Terms—sensorless, vector control, EKF, PMLSM.

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Cite: Jun Zhu, Baoyu Xu, Xudong Wang, Haichao Feng, and Xiaozhuo Xu, " The Research of Sensorless Vector Control for Permanent Magnet Linear Synchronous Motor," Journal of Computers vol. 8, no. 5, pp. 1184-1191, 2013.