• DocumentCode
    3398006
  • Title

    Optimal PID controller design in PMSM based on Improved Genetic Algorithm

  • Author

    Yu, Ren ; Chengyao, Zhao

  • Author_Institution
    Inst. of Software & Intell. Technol., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    A novel PID controller design method based on Improved Genetic Algorithm is proposed in the paper for PMSM Servo system. By using real-coded chromosomes scheme, and strategies of protecting the best individual, accepting immigrations, as well as employing adaptive crossover and mutation operators, meanwhile, choose output-overshoot, rise time and steady error of the system as the fitness function to weight the system performance. The global searching ability and the convergence speed of the IGA are significantly improved, and the performance of the PID controller is optimized to satisfaction. Experiment results show that the novel PID controller design method can achieve a faster Motor response, better traceability and markedly improved control results.
  • Keywords
    Algorithm design and analysis; Biological cells; Control systems; Design methodology; Genetic algorithms; Genetic mutations; Optimal control; Protection; Servomechanisms; Three-term control; Genetic Algorithm; PID controller; PMSM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7653-4
  • Type

    conf

  • DOI
    10.1109/ICINDMA.2010.5538354
  • Filename
    5538354