• DocumentCode
    2727408
  • Title

    Lead-Lag Compensator Design Based on Genetic Algorithms

  • Author

    Huey-Yang Horng

  • Author_Institution
    Dept. of Electron. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    16-18 Nov. 2012
  • Firstpage
    80
  • Lastpage
    85
  • Abstract
    The PID controllers are the most commonly used controllers in industrial applications. As is well known, the PID controllers are susceptible to noise interference and windup effect. More practical alternatives are lead-lag controllers. Traditionally, time-domain or frequency-domain methods are used to design a lead-lag controller to meet the design specifications. The main task of this article is to design a required lead-lag controller using genetic algorithms (GAs). A main feature of our approach is to include the design specifications directly into the cost function or fitness function in GA iterations. Computer simulations show that the performances of our proposed controllers are quite good.
  • Keywords
    control system synthesis; frequency-domain analysis; genetic algorithms; three-term control; time-domain analysis; GA iterations; PID controllers; computer simulations; cost function; design specifications; fitness function; frequency-domain methods; genetic algorithms; lead-lag compensator design; lead-lag controller; noise interference; proportional-integral-derivative controllers; time-domain methods; Biological cells; Cost function; Genetic algorithms; Lead; Sociology; Statistics; Steady-state; PID controller; cost function; fitness function; genetic algorithm; lead-lag compensators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies and Applications of Artificial Intelligence (TAAI), 2012 Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4673-4976-5
  • Type

    conf

  • DOI
    10.1109/TAAI.2012.66
  • Filename
    6395010