Abstract
The need for energy conservation necessitates increased levels of induction motor efficiency. It is therefore important to optimize the efficiency of the induction motor if significant energy savings are to be obtained. To optimize the efficiency, the design of the induction motor has to be chosen appropriately. Here we present a comparative study of the various soft computing techniques and their applications to the optimum design of single phase induction motors. The process of optimization has been carried out by using simulated annealing, radial basis function networks, and evolutionary programming. These methods are tested on two sample motors, and the results are compared with conventional design results.
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