Application of genetic algorithms in parameters identification of asynchronous motor

The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. Methods and process are first presented to estimate all parameters of a asynchronous motor based on genetic algorithm, and then identification are actualized in the stator reference frame and rotor reference frame respectively. In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.