Parameter identification for no-coupling SACS motor testing

The paper analyzes the disadvantages of the conventional testing system for the single-phase AC series-excited motor (SACSM), introduces a kind of no-coupling motor testing system. The paper studies on one of the basic problems of the no-coupling testing system: that is the parameter identification during the motor testing. The method to solve this problem based on genetic algorithm is worked out, a kind of new genetic algorithm based on the social hierarchic rank is put forward which adopts the idea that reduces searching scope of genes according to individual fitness. The experiments show that the algorithm can optimize parameters of motor effectively to match with production speed.