Flux linkage characteristic measurement and parameter identification based on hybrid genetic algorithm for switched reluctance motors

The method of measuring the flux linkage characteristic of switched reluctance motors (SRM) is discussed, and an experimental setup based on DSP TMS320F2812 is developed to acquire the magnetization curves of an 8/6 SRM. Parameter identification for optimization problems with nonlinear constraint conditions is introduced into the modeling of SRM, and an improved hybrid genetic algorithm (HGA) with annealing exact penalty function for optimizing the flux linkage model is presented. Based on the measured data, parameters of the flux linkage model are identified. Comparison of the experimental and simulated results verifies the accuracy and validity of this method.