Genetic algorithms in design of a synchronous reluctance motor

The work handles with dependency of variations in the rotor design on the performance of a three phase synchronous-reluctance motor (SRM). Analytical geometry-dependant equations for the d- and q-axis SRM magnetizing inductances are derived. The finite element analyze was used to include the magnetic nonlinearities and saturation effects on SRM performance calculation. The use of genetic algorithms (GA) as global optimization procedure in generating and optimization of un-predetermined rotor shape is shown. Rotor materials used in this analyze have two characteristics: non-ferromagnetic and nonlinear ferromagnetic. Goal of un-predetermined rotor design optimization is to achieve maximum torque for a given rotor volume.