Transactions on Control, Automation and Systems Engineering

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Fuzzy Logic Controller for Speed Control of a DC Series Motor Using an Adaptive Evolutionary Computation

  • Hwang, Gi-Hyun (School of Electronic, Electrical, and Communication Engineering, Pusan National University) ;
  • Hwang, Hyun-Joon (Dept. of Electricity, Pohang College) ;
  • Kim, Dong-Wan (Dept. of Electricity, Tong-Myong College) ;
  • Park, June-Ho (School of Electronic, Electrical, and Communication Engineering, Pusan National University)
  • Published : 2000.03.01
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Abstract

In this paper, an Adaptive Evolutionary Computation(AEC) is proposed. AEC uses a genetic algorithm(GA) and an evolution strategy (ES) in an adaptive manner is order to take merits of two different evolutionary computations: global search capability of GA and local search capability of ES. In the reproduction procedure, proportions of the population by GA and ES are adaptively modulated according to the fitness. AEC is used to design the membership functions and the scaling factors of fuzzy logic controller (FLC). To evaluate the performances of the proposed FLC, we make an experiment on FLC for the speed control of an actual DC series motor system with nonlinear characteristics. Experimental results show that the proposed controller has better performance than that of PD controller.

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