A New Approach Design Optimizer of Induction Motor using Particle Swarm Algorithm

First of all, this paper discusses the use of a novel approach optimization procedure to determine the design of three phase electrical motors. The new lies in combining a motor design program and employing a particle-swarm-optimization (PSO) technique to achieve the maximum of objective function such as the motor efficiency. A method for evaluating the efficiency of induction motor is tested and applied on 1.1 kW experimental machines; the aforementioned is called statistics method (SM) and based on the analysis of the influence losses. As the equations which calculate the iron losses make call to magnetic induction. From this point, the paper proposes to evaluate the B(H) characteristic by estimating the circuit’s flux and the counting of excitation. Next, the optimal designs are analyzed and compared with results of another method which is genetic algorithms (GAs) optimisation technique, was done to demonstrate the validity of the proposed method.