A Speed Sensorless Control Strategy for a Permanent Magnet Linear Synchronous Motor Based on Low-Order Serial Dual Extended Kalman Filters
Sun Xingfa1, Nie Ziling1, Zhu Junjie1, Han Yi1, Sun Jun2
1. National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan 430033 China; 2. College of Electrical Engineering Navy University of Engineering Wuhan 430033 China
Abstract：In this paper, based on the mathematical model of the three-phase permanent magnet linear synchronous motor (PMLSM) in the synchronous rotating coordinate system, the three-order state equation of the system was derived, and the rotor speed estimation based on the extended Kalman filter (EKF) was realized, firstly. Then, the calculation process of the traditional EKF showed that the real-time linear Taylor approximation was completed at the best state estimation of the last period, with a certain delay. Accordingly, the low-order serial dual extended Kalman filters (LSDEKFs) algorithm was proposed, which consisted of two low-order EKFs operating in series. The Taylor approximation was realized at the best estimation of the current cycle to improve the accuracy of state estimation. Finally, the simulation and experimental results show that the speed sensorless control strategy based on LSDEKFs has higher accuracy in speed estimation compared with the conventional EKF.
孙兴法, 聂子玲, 朱俊杰, 韩一, 孙军. 基于低阶串行双扩展卡尔曼滤波的永磁直线同步电机无速度传感器控制策略[J]. 电工技术学报, 2018, 33(12): 2685-2694.
Sun Xingfa, Nie Ziling, Zhu Junjie, Han Yi, Sun Jun. A Speed Sensorless Control Strategy for a Permanent Magnet Linear Synchronous Motor Based on Low-Order Serial Dual Extended Kalman Filters. Transactions of China Electrotechnical Society, 2018, 33(12): 2685-2694.
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2018, Vol. 33 
