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Auto-Tuning of Reference Model Based PID Controller Using Immune Algorithm
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  • Auto-Tuning of Reference Model Based PID Controller Using Immune Algorithm
  • Auto-Tuning of Reference Model Based PID Controller Using Immune Algorithm
저자명
Kim. Dong-Hwa,Park. Jin-Ill
간행물명
퍼지 및 지능시스템학회 논문지
권/호정보
2002년|12권 3호|pp.246-254 (9 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In this paper auto-tuning scheme of PID controller based on the reference model has been studied for a Process control system by immune algorithm. Up to this time, many sophisticated tuning algorithms have been tried in order to improve the PID controller performance under such difficult conditions. Also, a number of approaches have been proposed to implement mixed control structures that combine a PID controller with fuzzy logic. However, in the actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Since the immune system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (Parallel Distributed Processing) network to complete patterns against the environmental situation. Simulation results reveal that reference model basd tuning by immune network suggested in this paper is an effective approach to search for optimal or near optimal process control.