Electromagnetic design optimization of a low speed Slotted Switched Reluctance Machine using genetic algorithm

This paper describes the design of a low speed Slotted Switched Reluctance Machine (SSRM) for wind turbine applications. The modeling and the dimensioning of the machine structure are investigated. Teeth shapes and global design are analyzed by optimizing the mass torque. Dimensions are obtained thanks to a genetic algorithm (GA) associated to the finite element method for the resolution of the electromagnetic equations. The optimization is executed 50 times in order to study convergence and to perform a statistical study on dimensioning parameters.