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Swarm Intelligence-Based Controller of Two-Asymmetric Windings Induction Motor
IEEE - EMDC07 (2007)
  • Omar Taha Hegazy, Helwan University
Abstract
In this paper, applying field orientation based on Particle Swarm Optimization (PSO) controls the speed of two-asymmetrical windings induction motor. The maximum efficiency of the motor is obtained by the evaluation of optimal rotor flux at any operating point. In addition, the electro-magnetic torque is also improved while maintaining a fast dynamic response. In this research, a novel approach is used to evaluate the optimal rotor flux level. This approach is based on Particle Swarm Optimization (PSO). This research presents two speed control strategies. These are field-oriented controller (FOC) and FOC based on PSO. The strategies are implemented mathematically and experimental. The simulation and experimental results have demonstrated that the FOC based on PSO method saves more energy than the conventional FOC method.
Keywords
  • mathematical model of the two-phase induction,
  • Field-Orientation; motor losses,
  • Particle SwarmOptimization; Inverter Circuits; Loss Minimization Control,
  • Simulation and Experimental Results.
Publication Date
Summer May 4, 2007
Citation Information
Omar Taha Hegazy. "Swarm Intelligence-Based Controller of Two-Asymmetric Windings Induction Motor" IEEE - EMDC07 (2007)
Available at: http://works.bepress.com/omarhegazy/7/