Application of Integrated Optimization to Optimal Design of Surface Motor

Abstract

A method for an optimal design of a surface motor based on integrated optimization is proposed in this letter. While the optimal design problem of a surface motor is formulated as a continuous optimization problem of design parameters, Particle Swarm Optimization (PSO), Radial Basis Function Network (RBFN), and Electromagnetic field simulation are used in the integrated optimization. The proposed approach is applied to an optimal design of a stator of a surface motor, and the advantage of the proposed approach is verified.