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• [P223] Application of genetic algorithms in parameters identification of asynchronous motor
  Author(s): Hai Jin, Shouguang Ma
  
  

  Abstract
  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 idengtification 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.

  
   

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