Application of Evolutionary Algorithms with Adaptive Mutation to the Identification of Induction Motor Parameters at Standstill

In this paper the application of evolutionary algorithms to the identification of induction motor equivalent circuit parameters at standstill is presented. In order to improve the time efficiency of the identification procedure, the adaptive mutation mechanism is introduced to the evolutionary algorithm. Few versions of the adaptive mutation mechanisms are investigated and evaluated in simulations. By employing the adaptive mutation the significant reduction of the processing time has been obtained while the required accuracy of the algorithm has not been deteriorated. The results of simulation are verified and confirmed in the experimental tests.