Multidimensional performance optimization of switched reluctance machines

This paper presents a procedure for optimization of the switched reluctance drive, in order to achieve required torque-speed characteristics. SRM configuration and characteristics are given, and experimental verification of the modeled characteristic is presented. Genetic algorithm (GA) was used for optimization of turn-on angle, turn-off angle and voltage, which represent basic control inputs. The achieved results suggest that the machine's geometry should be optimized as well.