Title :
Efficiency Optimization of Two-Asymmetrical-Winding Induction Motor Based on Swarm Intelligence
Author :
Amin, Amr M A ; El Korfally, Mohamed I. ; Sayed, Abdallah A. ; Hegazy, Omar T M
Author_Institution :
Dept. of Power & Electr. Machines, Helwan Univ., Cairo
fDate :
3/1/2009 12:00:00 AM
Abstract :
In this paper, applying field orientation based on particle swarm optimization (PSO) controls the speed of two-asymmetrical-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.
Keywords :
angular velocity control; induction motors; machine vector control; machine windings; particle swarm optimisation; rotors; torque; efficiency optimization; electromagnetic torque; fast dynamic response; field-oriented controller; optimal rotor flux; particle swarm optimization; speed control; swarm intelligence; two-asymmetrical-winding induction motor; mathematical model of the two-phase induction motor; Field orientation; inverter circuits; losses minimization control; motor losses; particle swarm optimization (PSO);
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2008.2011831
