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Losses Minimization of Two Asymmetrical Windings Induction Motor Based on Swarm Intelligence
IEEE IECON 2006 (2006)
  • Omar Taha Hegazy, Helwan University
Abstract
In this paper, applying field orientation based on Particle Swarm Optimization (PSO) controls the speed of twoasymmetrical 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 electromagnetic 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). PSO method is a member of the wide category of Swarm Intelligence methods (SI). This research presents two speed control strategies. These are fieldoriented 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 June 10, 2006
Citation Information
Omar Taha Hegazy. "Losses Minimization of Two Asymmetrical Windings Induction Motor Based on Swarm Intelligence" IEEE IECON 2006 (2006)
Available at: http://works.bepress.com/omarhegazy/6/