Title :
Swarm Intelligence-Based Controller of Two-Asymmetric Windings Induction Motor
Author :
Amin, A.M.A. ; Korfally, M.I. ; Sayed, A.A. ; Hegazy, O.T.M.
Author_Institution :
Helwan Univ. Cairo, 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 results have demonstrated that the FOC based on PSO method saves more energy than the conventional FOC method.
Keywords :
induction motors; machine windings; particle swarm optimisation; rotors; electro magnetic torque; field orientation; induction motor; optimal rotor flux; particle swarm optimization controls; swarm intelligence based controller; two asymmetric windings; Core loss; Couplings; Equations; Equivalent circuits; Induction motors; Machine intelligence; Mathematical model; Particle swarm optimization; Rotors; Torque; Field-Orientation controller; Inverter Circuits; Losses Minimization Control; a Particle Swarm Optimization [PSO]; mathematical model of the two-phase induction motor; motor losses;
Conference_Titel :
Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International
Conference_Location :
Antalya
Print_ISBN :
1-4244-0742-7
Electronic_ISBN :
1-4244-0743-5
DOI :
10.1109/IEMDC.2007.382803
