• DocumentCode
    2909984
  • Title

    Optimization design of PWM rectifier system based on ant colony algorithm

  • Author

    Du Ning ; Bai Baodong ; Chen Dezhi ; Li Baopeng ; Wang Jiayin

  • Author_Institution
    Special Electr. Machines & High Voltage Apparatus Key Lab. of Nat. Educ. Minist. & Liaoning Province, Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    1758
  • Lastpage
    1761
  • Abstract
    By introducing ant colony algorithm, a novel optimization method is obtained to design PWM rectifier systems based on voltage oriented vector control strategies in this paper. This method was model-free, without user interaction and faster convergent rate than genetic algorithm. Optimization process on the whole of all the PI parameters will obtain a global optimal solution. State of controllable rectification and energy feedback was simulated before and after the optimization by using SimPowerSystems toolbox under Matlab environment. Results show that effectiveness and feasibility of the method has practical significance in engineering system to optimize PI parameters.
  • Keywords
    PI control; PWM rectifiers; ant colony optimisation; genetic algorithms; Matlab environment; PI parameters; PWM rectifier system; SimPowerSystems toolbox; ant colony algorithm; energy feedback; genetic algorithm; optimization design; voltage oriented vector control; Cities and towns; Mathematical model; Optimization; Pulse width modulation; Rectifiers; Vectors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2013 International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4799-1446-3
  • Type

    conf

  • DOI
    10.1109/ICEMS.2013.6713291
  • Filename
    6713291