This article shows one of many ways how identify parameters of the IM in real time. For identification is used theory of genetic algorithms. The Genetic Algorithms is a search technique used in many fields, like in computer science, to find accurate solutions to large optimization and search problems. The advantage of GAs is flexible and intuitive approach to optimization and demonstrates a higher probability of not converging to local optima solutions compared to traditional gradient based methods. More recently, methods which have appeared in the scientific literature about general GAs become popular and can be successfully ported to power electronics and drives. This article deals with the possibilities to improve dynamics and other properties of the drive with using online parameters estimation integrated in main control algorithm. In this paper at the first there is presented an analysis of the current state of the investigated problem and there is also explained why the problem is discussed. Following chapters show induction machine dynamic model principles and ways of implementation the IM parameters identification. Used genetic algorithm theory and experimental results are demonstrated in the end of this article. The conclusion describes the potential use of this method and discusses further development in the real time estimation of induction machines parameters.
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