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Design Optimization of PM AC Machines Using Differential Evolution and Computationally Efficient-FEA

Divya P, Visalakshi S, Vijayalakshmi V

The design optimization methods described is a computationally-efficient FEA (CE-FEA) technique. For the purpose of analysis minimum number of magneto static are used and it makes possible for the study of the many candidate motor designs with typical PC workstation computational resources. A multi-objective differential evolution (DE) algorithm that considers a large number of independent stator and rotor geometric variables and performance criteria, to develop software that efficiently optimizes the design of various types of machines using finite element (FE) analysis in a high throughput computing environment to achieve the best possible performance results in the least amount of computational time.