Title :
Losses Minimization of Two Asymmetrical Windings Induction Motor Based on Swarm Intelligence
Author :
Amin, A.M.A. ; Korfally, M.I. ; Sayed, A.A. ; Hegazy, O.T.M.
Author_Institution :
Dept. of Power & Electr. Machines, Helwan Univ., Cairo
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). PSO method is a member of the wide category of swarm intelligence methods (SI). 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 :
angular velocity control; dynamic response; electromagnetic devices; induction motors; losses; machine vector control; magnetic flux; particle swarm optimisation; rotors; torque; asymmetrical windings induction motor; electro-magnetic torque; fast dynamic response; field orientation controls; field-oriented controller; losses minimization; optimal rotor flux; particle swarm optimization; speed control strategies; swarm intelligence; Circuit simulation; Equations; Equivalent circuits; Induction motors; Machine windings; Mathematical model; Minimization; Particle swarm optimization; Rotors; Torque; Field-Orientation; Inverter Circuits; Loss Minimization Control; Particle Swarm Optimization; Simulation and Experimental Results; mathematical model of the two-phase induction motor; motor losses;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347331
