• DocumentCode
    3160429
  • Title

    Comparative study of fuzzy logic speed controller in vector controlled PMSM drive: Minimum number of fuzzy rule-base

  • Author

    Isa, Siti Noormiza Mat ; Ibrahim, Zulkifilie ; Patkar, Fazlli

  • Author_Institution
    Electr. Eng. Dept., Univ. Teknikal Malaysia Melaka, Malaysia
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    112
  • Lastpage
    118
  • Abstract
    This paper presents a comparative study on fuzzy rule-base of fuzzy logic speed control with vector-controlled permanent magnet synchronous motor (PMSM) drive. Fuzzy rule-base design is viewed as control strategy. All fuzzy rules contribute to some degree in obtaining the desired performance. However, some rules fired weakly do not contribute significantly to the final result and can be eliminated. dasiaStandard designpsila of fuzzy rule-base of fuzzy logic controller is identified from numerous publications which is 49 rules is used in order to obtain great speed tracking response. It is possible to minimize the complexity of controller´s design by reducing number of rule-base from standard 49 rules to 9 rules. Simulation results that verify appropriateness of the approach are included. A comparison of speed response between both designs is studied. Sensitivity of the designs to load disturbance and changes in command settings is studied and also being compared to demonstrate the effectiveness of the reduced rule-base.
  • Keywords
    angular velocity control; fuzzy control; fuzzy set theory; machine vector control; permanent magnet motors; synchronous motor drives; fuzzy logic speed controller; fuzzy rule-base design; permanent magnet synchronous motor drive; speed tracking response; vector-controlled PMSM drive; Automatic control; Fuzzy control; Fuzzy logic; Induction motors; Machine vector control; Magnetic switching; Permanent magnet motors; Shape control; Torque control; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
  • Conference_Location
    Monash
  • Print_ISBN
    978-1-4244-2886-1
  • Electronic_ISBN
    978-1-4244-2887-8
  • Type

    conf

  • DOI
    10.1109/CITISIA.2009.5224229
  • Filename
    5224229