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김세찬 부천대학 1997 論文集 Vol.18 No.-
PI(proportional-integral) controller has been extensively used in the industrial world. But in this controller it is difficult to tune PI gains. Evolution Strategy is used as an effective search algorithm in optimization programs. In this paper we propose a PI controller for DC motor position control using Evolution Strategy with varying search space. Evolution Strategy with varying search space which depends on fitness values at each generation is used to tune PI control parameters. Simulation result show the proposed algorithm has accurate and robust performance with effective search ability.
김세찬 부천대학 1996 論文集 Vol.17 No.-
The Fuzzy-Neural Controller is constructed to resolve some difficulties taking place in decision of membership functions, input gains and an inference method for designing fuzzy logic controller. In addition Neural network emulator is used to emulate induction motor forward dynamics and to get error signal at fuzzy-neural controller output layer. Error signal is backpropagated through neural network emulator. A back propagation algorithm is used to train fuzzy-neural controller and emulator. The experimental results show that this control system can provide good dynamical responses.