• DocumentCode
    1634652
  • Title

    Design of cascaded controllers for DC drives using evolutionary algorithms

  • Author

    Cupertino, Francesco ; Naso, David ; Salvatore, Luigi ; Turchiano, Biagio

  • Author_Institution
    Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1255
  • Lastpage
    1260
  • Abstract
    In this paper, we describe a new design procedure for cascaded controller for electrical drives based on evolutionary algorithms. Most electric drives have two separate controllers for current and speed control, which are in general designed in two consecutive steps (firstly the current controller and then the speed one). Using a hybrid evolutionary algorithm designed to test and compare controllers of different orders, we search simultaneously for the couple of discrete anti-windup controllers achieving the optimal compromise of cost and performance indices related to both current and speed responses. Simulation comparison with conventional design techniques on a non-linear DC drive with variable load are presented to show the effectiveness of the approach
  • Keywords
    cascade control; control system synthesis; electric drives; evolutionary computation; optimisation; cascaded controller; electrical drives; evolutionary algorithm; genetic algorithms; hybrid evolutionary algorithm; stochastic search techniques; Algorithm design and analysis; Control systems; Cost function; Electric variables control; Evolutionary computation; Genetics; Observers; Optimal control; Robust control; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004423
  • Filename
    1004423