• DocumentCode
    704296
  • Title

    Multiobjective Fuzzy Predictive Torque Control of an induction motor drive

  • Author

    Rojas, Christian A. ; Rodriguez, Jose ; Villarroel, Felipe ; Espinoza, Jose ; Khaburi, Davood A.

  • Author_Institution
    Dept. of Electron. Eng., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
  • fYear
    2015
  • fDate
    3-4 Feb. 2015
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    In the recent years the use of Model Predictive Control (MPC) in electrical drives has been widely reported both theoretically and experimentally. Predictive Torque Control (PTC) has been developed to control induction motor drives, allowing high-performance and fast dynamics. However, the optimization used in PTC is based on a single cost function minimization, where control objectives are merged by using weighting factors. The adjustment of these factors is achieved through a nontrivial process and they are heavily dependent on the system parameters. To avoid this process, a Multiobjective Fuzzy Predictive Torque Control (FPTC) is presented. The proposed strategy changes the single cost function with a Multiobjective Optimization based on Fuzzy-Decision-Making. Simulation results are presented to illustrate the behavior of the drive.
  • Keywords
    fuzzy control; induction motor drives; machine control; minimisation; predictive control; torque control; cost function minimization; electrical drives; fuzzy-decision-making; induction motor drive; model predictive control; multiobjective fuzzy PTC; multiobjective optimization; nontrivial process; predictive torque control; weighting factor; Computer simulation; Cost function; Induction motors; MATLAB; Rotors; Search problems; Stators; Decision making; Fuzzy sets; Induction motor drives; Predictive control; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives Systems & Technologies Conference (PEDSTC), 2015 6th
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-7652-2
  • Type

    conf

  • DOI
    10.1109/PEDSTC.2015.7093274
  • Filename
    7093274