• DocumentCode
    3578572
  • Title

    PSO algorithm for Three Phase Induction Motor drive with SVPWM Switching and V/f Control

  • Author

    Ali, Jamal Ali ; Hannan, M.A. ; Mohamed, Azah

  • Author_Institution
    Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2014
  • Firstpage
    250
  • Lastpage
    254
  • Abstract
    Optimization techniques are become more popular for the improvement in control of Three Phase Induction Motor (TIM). Also the Volt/Hz (V/f) control and space vector pulse width modulation (SVPWM) are used to reduce the harmonics level related to other control and modulation techniques. This paper deals with the tuning of PI controller parameters to be used in TIM. Particle Swarm Optimization (PSO) algorithm is used to tune each parameter of PI speed controller to improve the speed response performance of the TIM. By designing appropriate PSO algorithm, Kp and Ki of the PI speed controller parameters are tuned for TIM operation with SVPWM Switching and V/f Control. The performance of PI speed controller on the TIM is measured by estimating the change of speed and torque under speed response condition. It is found that the performance of the PI controller is robust in terms of overshoot, settling time, steady state error and RMSE.
  • Keywords
    PI control; angular velocity control; harmonics suppression; induction motor drives; machine control; mean square error methods; particle swarm optimisation; pulse width modulation; robust control; torque control; PI speed controller; PSO algorithm; RMSE; SVPWM switching control; TIM; V/f control; Volt-Hz control; harmonic reduction; particle swarm optimization; space vector pulse width modulation; speed response; steady state error; three phase induction motor drive; torque control; Conferences; Equations; Induction motor drives; Mathematical model; Robustness; Space vector pulse width modulation; (PSO-PI) controller; SVPWM; V/f controller; inverter; particle swarm optimization; three-phase induction machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-7296-8
  • Type

    conf

  • DOI
    10.1109/PECON.2014.7062451
  • Filename
    7062451