Optimal design of electric machine using genetic algorithms coupled with direct method

This paper discusses the development of a new optimization algorithm for DC motor design. In principle, the new algorithm utilizes a mixed method that consists of genetic algorithms in conjunction with direct search method. T he genetic algorithms are used for locating the global optimum region while the direct search method is used to achieve objective function convergence . In order to validate the effectiveness, the new algorithm has been applie d to an actual DC motor. Field and torque characteristics of the DC motor a re computed using finite element method and the principle of virtual work, respectively.