• DocumentCode
    2322148
  • Title

    Structured mixed-sensitivity H design using Particle Swarm Optimization

  • Author

    Bouallègue, Soufiene ; Haggege, Joseph ; Benrejeb, Mohamed

  • Author_Institution
    UR. LA.R.A. Autom., Ecole Nat. d´´Ing. de Tunis (ENIT), Tunis, Tunisia
  • fYear
    2010
  • fDate
    27-30 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new structured mixed-sensitivity ℋ design approach, using Particle Swarm Optimization (PSO) technique, is proposed. The case study of an electrical DC drive benchmark is adopted to illustrate the efficiency and viability of the proposed control approach. The optimization based synthesis problem is formulated and solved by a constrained PSO algorithm. In the proposed control strategy, a PID controller´s structure is adopted. Simulations and experimental results show the advantages of simple structure, lower order and robustness of the proposed controller. A comparison to another similar evolutionary algorithm, such as Genetic Algorithm (GA), shows the superiority of the PSO-based method to solve the formulated optimization problem.
  • Keywords
    H control; control system synthesis; electric drives; machine control; particle swarm optimisation; three-term control; PID controller; constrained PSO algorithm; electrical DC drive; genetic algorithm; particle swarm optimization; structured mixed sensitivity H design; synthesis problem; Indexes; Optimization; ℋ design; PID controller; electrical DC drive; particle swarm optimization; real-time experimentation; structured synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-7532-2
  • Type

    conf

  • DOI
    10.1109/SSD.2010.5585547
  • Filename
    5585547