DESIGN AND PERFORMANCE EVALUATION OF THREE PHASE INDUCTION MOTOR USING OPTIMIZATION TECHNIQUES AND GENETIC ALGORITHMS

Abstract

Optimization is usually done for any one of the functions associated with a system. In design problems usually a single objective function (say, Cost, Efficiency, Volume of Material used, Starting Current etc.) will be identified, which shall include the constraints imposed on the system also. Optimization can also be carried out with multiple objectives (say, Cost & Efficiency, Volume of Material & Stress handling capacity etc.), in which case, the problem becomes multi – objective programming problem and it can be solved by constructing an overall objective function as a linear combination of multiple objective functions. A research work is under progress on “Design and Performance Evaluation of Three Phase Induction Motor using Optimization Techniques and Genetic Algorithms”, which aims at developing a software, which upon providing minimum basic input data about the machine (such as overall dimensions, specification constraints etc) to be designed, designs the various parameters ably supported with suitable optimization techniques, to obtain an optimized end result. Induction motor design optimization is a problem in non-linear programming solved by the method of Sequential Unconstrained Minimization Technique (SUMT). Design Optimization is to be carried out using Hooke and Jeeves method of optimization and also using Genetic Algorithms.