Evolutionary computer controlled design of a reluctance motor drive system

This paper demonstrates the benefits of employing computer-automated design methods in design and optimization of electrical machines and drives. The proposed design and optimization software for a reluctance motor and drive has been used to design a complete flux switching motor without human intervention. The capability of accurately predicting dynamic performances of the full system (motor and drive) allows a genetic algorithm to confidently adjust the design within reasonable boundaries while steadily improving the fitness function of the designs. The motor and drive has been constructed and test results have verified the accuracy of the simulation. The motor and drive as designed has delivered superior performance to comparable motors of the same frame size.