Tuning PI-controller using swarm algorithm for control of permanent magnet synchronous motor for electric vehicle

  • Authors:

  • A. S. Elwer;S. A. Wahsh;M. O. Khalil;A. M. Nour-Eldeen

  • Affiliations:

  • Electronics Research Institute, Giza, Egypt;Electronics Research Institute, Giza, Egypt;Cairo University, Giza, Egypt;Cairo University, Giza, Egypt

  • Venue:
  • ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
  • Year:
  • 2005

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Abstract

Electric Vehicle (EV) is a dream for the human being city traffic without exhausting gas and with low noise. Permanent Magnet Synchronous Motor (PMSM) became at the top of ac motors in high performance drive systems such as EV. This paper presents a modern approach of speed control for PMSM using Particle Swarm Optimization (PSO) algorithm to optimize the parameters of PI- Controller. The overall system will be simulated under various operating conditions and an experimental setup is prepared. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load, the simulation results showing good dynamic response with fast recovery time.