- 실시간 진화 신경망 알고리즘을 이용한 전기.유압 서보 시스템의 적응 학습제어
- ㆍ 저자명
- 장성욱,이진걸,Jang. Seong-Uk,Lee. Jin-Geol
- ㆍ 간행물명
- 제어·자동화·시스템공학 논문지
- ㆍ 권/호정보
- 2002년|8권 7호|pp.584-588 (5 pages)
- ㆍ 발행정보
- 제어로봇시스템학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
The real-time characteristic of the adaptive leaning control algorithms is validated based on the applied results of the hydraulic servo system that has very strong a non-linearity. The evolutionary strategy automatically adjusts the search regions with natural competition among many individuals. The error that is generated from the dynamic system is applied to the mutation equation. Competitive individuals are reduced with automatic adjustments of the search region in accordance with the error. In this paper, the individual parents and offspring can be reduced in order to apply evolutionary algorithms in real-time. The feasibility of the newly proposed algorithm was demonstrated through the real-time test.