Genetic algorithms applied to controller design of an electric drive system

Classical control methods are still employed in industry. Proper design and tuning of the controllers are essential for the acceptable performance of the controlled system. In the past, a considerable number of methods have been developed for this purpose. This paper presents a novel, alternative technique of controller design based on genetic algorithms and a laboratory-scale direct current drive as application example. Experimental results show the potential of the method.