- Volume 27 Issue 9
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The Self-tuning PID Control Based on Real-time Adaptive Learning Evolutionary Algorithm
실시간 적응 학습 진화 알고리듬을 이용한 자기 동조 PID 제어
- Published : 2003.09.01
This paper presented the real-time self-tuning learning control based on evolutionary computation, which proves its superiority in finding of the optimal solution at the off-line learning method. The individuals of the populations are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations is proposed. It is possible to control the control object slightly varied as time changes. As the state value of the control object is generated, evolutionary strategy is applied each sampling time because the learning process of an estimation, selection, mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.
Evolutionary Algorithm;Real-Time;Adaptive Learning Control;Mutation;Search Region
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