Design of a Hybrid Controller using Differential Evolution and MIT Rule for Magnetic Levitation System
نویسندگان
چکیده
In various industrial systems, parameters variation is one of the major problems faced by control engineers now days. To overcome the problem of parameter variations, this paper proposes the hybridization of MIT rule based online tuning of classical PID controllers with Differential Evolution algorithm. The hybridization of two techniques results in the offline as well as online tuning of PID controllers at the same time. The developed hybrid controller is then applied on magnetic levitation system using MATLAB and Simulink. The paper also describes the basic steps involved in Differential Evolution (DE) algorithm and a comparison between designed hybrid controller and the simple DE algorithm based controller has been carried out. The results depict that the performance of the hybrid controller is better than the offline tuned PID controller in terms of transient parameters such as peak overshoot and settling time. Keywords–Differential evolution, hybridization, MIT rule, PID controller, soft computing.
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