This thesis presents an electromagnetic design optimization for the V-shaped magnet Interior Permanent Magnet Synchronous Machines (IPMSMs) and conducts a comparative study on the predicted operating characteristics of the optimally designed machines. A local optimizer (nonlinear Simplex Algorithms), a global optimizer (Genetic Algorithms) and a newly developed algorithm for multimodal design optimization are separately introduced and used to determine the dimensions of each optimized machine based on three distinctive Objective Functions. The conducted comparative study enables one to have more degrees of freedom in selecting a final design among the presented optimized designs by evaluating the performances of each machine.
A prototype of the optimized machine is fabricated, and the output power, losses, and efficiency of the built machine are assessed using experimental analysis. The experimental results for the optimized IPMSM design verify the accuracy, reliability, and effectiveness of the optimization approach and simulation analysis.