Chinese Journal of Electrical Engineering ›› 2015, Vol. 1 ›› Issue (1): 85-91.

• Orginal Article • Previous Articles    

A 2-D Fuzzy Logic Based MRAS Scheme for Sensorless Control of Interior Permanent Magnet Synchronous Motor Drives with Cyclic Fluctuating Loads

Yang Mei1, Kai Sun2*, Yuchao Shi3   

  1. 1. Power Electronics and Motor Driving Engineering Center, North China University of Technology,Beijing, 100144, China;
    2. State Key Lab of Power Systems, Tsinghua University, Beijing, 100084, China;
    3. Hangzhou Power Bureau, State Grid Corporation of China, Hangzhou, 310007, China
  • Online:2015-12-25 Published:2015-12-25
  • About author:Yang Mei received the B.E. degree in electrical engineering from Xi'an Jiaotong University in 2003, the M.E. and Ph.D degrees in electrical engineering from Tsinghua University in 2005 and 2008, respectively.
    She joined the faculty of North China University of Technology in 2008, where she is currently an Associate Professor.
    From March to August 2010, she was a Visiting Scholar of Electrical Engineering with the Institute of Energy Technology, Aalborg University, Aalborg, Denmark. Her research interests include advanced AC power converters and high performance control of AC motors.
    Kai Sun received the B.E., M.E., and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2000, 2002, and 2006, respectively.
    He joined the facul ty of Elect rical Engineering, Tsinghua University, in 2006, where he is currently an Associate Professor. From 2009 to 2010, he was a Visiting Scholar of Electrical Engineering with the Institute of Energy Technology, Aalborg University, Aalborg, Denmark. His current research interests include power electronics for renewable generation systems and microgrids, high performance control of AC motors.
    Dr. Sun is a Senior Member of IEEE, a member of IEEE Industrial Electronics Society Renewable Energy Systems Technical Committee, a member of IEEE Power Electronics Society Technical Committee of Sustainable Energy Systems, and a member of Awards Sub-committee of IEEE Industry Application Society Industrial Drive Committee. He is an Associate Editor for the JOURNAL OF POWER ELECTRONICS. He was a recipient of the Delta Young Scholar Award in 2013.
    Yuchao Shi received the B.E., M.E., and Ph.D degrees in electrical engineering from Tsinghua University, Beijing, China, in 2008, 2010 and 2013, respectively. Since Aug. 2013, he has been a engineer at Hangzhou Power Bureau, State Grid Corporation of China.
    His research interests are power system protection and motor drives.
  • Supported by:
    sun-kai@mail.tsinghua.edu.cn.

Abstract: Model reference adaptive system (MRAS) is typically employed for rotor position/speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. The adjustment of control parameters in MRAS is a key issue for IPMSM drive systems with cyclic fluctuating loads. In order to avoid the difficulties involved with manual tuning of the control parameters, a new MRAS scheme based on fuzzy logic is proposed in this paper in which a fuzzy controller replaces the conventional PI regulator. To implement this new MRAS scheme, a two-dimensional (2-D) fuzzy rule is designed. The proposed control scheme is employed in the IPMSM drives with cyclic fluctuating loads such as compressors. In order to lower the motor speed ripple caused by the cyclic fluctuating load, a feed-forward compensation strategy with the load-matching motor output torque pattern is developed. Experimental results demonstrate the feasibility and effectiveness of the proposed fuzzy logic based MRAS scheme with minimal rotor position estimation error.

Key words: Motor drives, permanent magnet synchronous motor, sensorless control, model reference adaptive system, fuzzy logic.