Multi-objective Robust Optimization Method for Switched Reluctance Motor Drive Systems

In the last chapter, the deterministic optimization method was proposed for switched reluctance motor (SRM) drive systems without considering parameter uncertainties in production. Many unavoidable uncertainties exist in the practical production of SRM drive systems, mainly caused by manufacturing tolerances. These uncertainties/tolerances will result in significant variations in the practical performance of the SRMs, affecting the reliability and quality of motors and drive systems in mass production. This chapter presents a robust design optimization approach based on the sequential Taguchi method for SRM drive systems. The component-level and system-level methods are implemented and compared. Besides, deterministic and robust approaches are investigated using a design example. The comparison shows that the proposed robust optimization method can significantly improve the robustness of the investigated SRM drive system.