Design Optimization of a Three-Phase Squirrel-Cage Induction Motor by Algorithm Harmony Search

Three-phase squirrel-cage induction motor has been widely used in industries because of its easy manufacturing, robustness, simple operation, low cost, high reliability, and efficiency. Many classical techniques were used in the design problem of IM but most of them are time-consuming, difficult in handling non-linear and discontinuous objectives and they may lead to non-optimal dimensioning and low efficiency. To overcome these drawbacks, nature-inspired metaheuristic optimization algorithms are widely used in the design optimization problems of IM. This paper deals with the optimization of an induction motor using a harmony search algorithm (HSA). The objective is to increase the efficiency of the 90 kW, 4-pole, 50 Hz squirrel cage induction motor, which is designed by conventional design and optimized by HSA using MATLAB. The resulting designs were validated by performance curves obtained using their equivalent circuit parameters and for comparison between the performance of the conventionally designed motor and an optimally designed motor. The optimized design shows an efficiency improvement of 1% over the conventional design.