Skip to main content
Article
Efficiency Optimization of Two-Asymmetrical-Winding Induction Motor Based on Swarm Intelligence
IEEE Energy conversion transactions (2009)
  • Omar Taha Hegazy, Helwan University
Abstract
In this paper, applying field orientation based on particle swarm optimization (PSO) controls the speed of twoasymmetrical- winding 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 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 experimentally. The simulation and experimental results have demonstrated that the FOC based on PSO method saves more energy than the conventional FOC method. Index Terms—Field orientation, inverter circuits, losses minimization control, mathematical model of the two-phase induction motor, motor losses, particle swarm optimization (PSO).
Keywords
  • Mathematical model of the two-phase induction motor,
  • Field-Orientation,
  • motor losses,
  • Particle Swarm Optimization,
  • Inverter Circuits,
  • Losses Minimization Control
Publication Date
Winter March 1, 2009
Citation Information
Omar Taha Hegazy. "Efficiency Optimization of Two-Asymmetrical-Winding Induction Motor Based on Swarm Intelligence" IEEE Energy conversion transactions Vol. 24 Iss. 1 (2009)
Available at: http://works.bepress.com/omarhegazy/5/