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Mathematical Problems in Engineering
Volume 2016, Article ID 3916231, 12 pages
Research Article

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

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received 7 September 2015; Revised 22 January 2016; Accepted 31 January 2016

Academic Editor: Kalyana C. Veluvolu

Copyright © 2016 Yong Zhang and Xu-Feng Cheng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.