Genetic algorithm for parameter identification of SACS motor testing

A novel layered strategy based on the population hierarchic-rank is put forth considering the relation between the diversity of evolution population and evolution times. A developed genetic algorithm based on it is presented in this paper. Application in parameter identification of the single-phase AC series-excited motor (SACSM) testing shows that the algorithm presented in this paper is efficient comparing to the simple genetic algorithm and its modified algorithm. Not only can the algorithm converge to global optimal solution but also it improves the speed of convergence.