Computer Engineering Commons^™

Automated Multi-Objective Design Optimization Of Pm Ac Machines Using Computationally Efficient Fea And Differential Evolution, Gennadi Y. Sizov, Peng Zhang, Dan M. Ionel, Nabeel Demerdash, Marius Rosu

Electrical and Computer Engineering Faculty Research and Publications

The design optimization methods described in this paper are employing an ultrafast computationally efficient finite element analysis technique. A minimum number of magnetostatic solutions are used for the analysis, which makes possible the study of thousands of candidate motor designs with typical PC-workstation computational resources. A multi-objective differential evolution algorithm that considers a large number of independent stator and rotor geometric variables and performance criteria, such as average and ripple torque, losses, and efficiency, is used. The optimization method is demonstrated on different permanent magnet (PM) ac synchronous motors in the kilowatt and megawatt power ranges. For the low-power PM …