유전 알고리즘을 이용한 PID 제어기의 파라메터 추출
The parameter Extraction of PID Controller using Genetic Algorithms
지산간호보건전문대학논문집 1997년 15권 0호 p.313 ~ 323
KMID : 0613219970150000313
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이상관 ( ) - 지산전문대학 전산정보처리과
박재형 ( ) - 지산전문대학 전산정보처리과
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Abstract
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It is hard to turn parameter of PID controller for uncertain plants in linear systems. Therefore, We proposed the controller designed with genetic algorithms for parameter tuning of PID controller.
Genetic algorithms are search algorithms based on the mechanics of natural selection and natural genetics. They combine survival of the fittest among string structures with a structured yet randomized information exchange to form a search algorithm with some of the innovative flair of human search.
In every generation, a new set of artificial creatures(string) is created using bits and pieces of the fittest of the old; an occasional new part is tried for good measure. While randomized, genetic algorithms are no simple random walk. They efficiently exploit historical information to speculate on new search points with expected improved performance.
We show that the proposed controller have a good result and easier in tuning parameter of PID controller by the computer simulation and real-time control of DC servo motor.
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KeyWords
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원문 및 링크아웃 정보
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등재저널 정보
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