Conclusions and Future Works

Abstract

This chapter concludes the book. In summary, this book has focused on the development of new efficient design optimization methods for novel high-performance electrical machines and drive systems under two design approaches, namely the deterministic and robust approaches. These new methods include sequential optimization method and its multi-objective form, multi-level optimization method, multi-level Genetic Algorithm, multi-disciplinary design optimization method and application-oriented system-level design optimization method. To illustrate the efficiency of those proposed methods, several classical test functions, a TEAM benchmark problem, and four kinds of motors have been investigated. As shown, the proposed new design optimization methods can achieve better design objectives for electrical motors and drive systems, such as higher output power and lower material cost, with much smaller computational cost than the traditional methods. The proposed robust design optimization approach can yield optimal designs of electrical drive systems for high quality and high reliability mass production. Based on these investigations and outcomes, several directions have been recommended for the future research.