中国电气工程学报(英文) ›› 2017, Vol. 3 ›› Issue (1): 73-78.

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  • 发布日期:2019-11-01

Predictive Field-Oriented Control for Electric Drives

Fengxiang Wang1,*, Xuezhu Mei2, Peng Tao1, Ralph Kennel1, Jose Rodriguez3   

  1. 1. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, 362200, China;
    2. Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich, Munich, 80333, Germany;
    3. Faculty of Engineering, Universidad Andrés Bello, Santiago, 8370146, Chile;
  • Published:2019-11-01
  • Contact: E-mail: fengxiang.wang@fjirsm.ac.cn.
  • About author:Fengxiang Wang received the B.S. degree in electronic engineering and the M.S. degree in automation from Nanchang Hangkong University, Nanchang, China, in 2005 and 2008, respectively, and the Ing. (Ph.D.) degree from Technical University of Munich, Munich, Germany, in 2014. In 2014, he started working at Quanzhou Institute of Equipment Manufacturing (QIEM), Haixi Institutes, Chinese Academy of Sciences, China. He is currently a professor and the vice director of QIEM. His research interests include predictive control and sensorless control for electrical drives and power electronics. Xuezhu Mei received the B.S. degree in electrical engineering in 2009 from Guang- dong University of Technology, China and received the M. Sc. degree in electrical engineering in 2010 from University of Newcastle-upon-Tyne, UK. She is currently working toward her Ph.D. degree at the Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich, Munich, Germany. Since 2014, she has become research assistant at QIEM. Her research interests include predictive control for electric drives and power electronics. Peng Tao received the B.S. degree in 2006 from Wuhan University of Technology and the M.S. degree in 2008 from Huazhong University of Science and Technology, China. And he received the Ph.D. degree in 2014 from Chinese Academy of Sciences. He is currently a postdoctoral researcher at QIEM. His research interests include sensorless control for electrical drives and power electronics. Ralph Kennel got his diploma degree and Dr.-Ing. degree in 1979 and1984 from the University of Kaiserslautern. From 1983 to 1999 he worked on several positions with Robert BOSCH GmbH (Germany). From 1994 to 1999 he was a visiting professor at the University of Newcastle-upon-Tyne, UK. From 1999-2008 he was professor at Wuppertal University (Germany). Since 2008 he is professor at Technical University of Munich, Germany. He is a senior member of IEEE, fellow of IEE and a chartered engineer in the UK. Within IEEE he is Treasurer of the Germany section as well as ECCE Global Partnership Chair of the Power Electronics society (PELS). His main interests are: sensorless control of AC drives, predictive control of power electronics and Hardware-in-the-Loop systems. José Rodríguez received the Engineer degree in electrical engineering from the Universidad Federico Santa Maria, Valparaiso, Chile, in 1977 and the Dr.-Ing. degree from the University of Erlangen, Erlangen, Germany, in 1985. He has been with the Department of Electronics Engineering, University Federico Santa Maria since 1977, where he is currently full professor and rector. Now he is rector at Universidad Andres Bello. He has co-authored more than 250 journal and conference papers. His main research interests include multilevel inverters, new converter topologies, control of power converters, and adjustable- speed drives. He is associate editor of the IEEE Transactions on Power Electronics and IEEE Transactions on Industrial Electronics since 2002. He is member of the Chilean Academy of Engineering and fellow of the IEEE.
  • Supported by:
    Supported by the National Natural Science Foundation of China under Grant 51507172.

Abstract: Model predictive field-oriented control (PFOC) is a novel control strategy belonging to the class of finite control set model predictive control (FCS-MPC) for electric drive systems. It is a direct control scheme which minimizes the cost function through the convergence of errors between the given and predictive stator currents. In this paper, PFOC is thoroughly presented and analyzed through its dynamics and steady state operations under wide range of speed and varying torque conditions. In light of PFOC’s model based characteristics, its robustness and influence under model parameters’ mismatch is also investigated. Experiments are conducted to show these performance and sensitivities.

Key words: Model predictive control, electric drives, induction machine