• DocumentCode
    1659633
  • Title

    Improved techniques of restrained search predictive control for multiphase drives

  • Author

    Duran, Mario ; Barrero, Federico ; Toral, Sergio ; Arahal, Manuel ; Prieto, Joel

  • Author_Institution
    Electr. Eng. Dept., Univ. of Malaga, Malaga, Spain
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Predictive control is becoming an alternative to standard vector control or direct torque control in electrical drives due to its fast torque response and design flexibility. In multiphase drives, where the complexity of the modulation techniques and control schemes is higher, the predictive control has proved to be a promising alternative. The main shortcoming of the standard predictive control (SPC) in multiphase drives is the high computational cost caused by the increased number of switching state possibilities. This work proposes a restrained search predictive control (RSPC) where some switching states are discarded by imposing several restrictions. The steady and transient states are explored, also examining the unbalance in the switching frequency of the voltage source inverter (VSI) legs and the effect of allowing submodulation. The advantages of the proposed control are discussed and the viability is confirmed by simulation.
  • Keywords
    electric drives; invertors; predictive control; direct torque control; electrical drives; fast torque response; modulation complexity techniques; multiphase drives; restrained search predictive control; standard vector control; switching frequency; voltage source inverter; Computational efficiency; Economic forecasting; Government; Machine vector control; Predictive control; Pulse width modulation; Switching frequency; Technological innovation; Torque control; Voltage; Multiphase drives; PWM; predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-4432-8
  • Electronic_ISBN
    978-90-75815-13-9
  • Type

    conf

  • Filename
    5278702