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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering 한국정밀공학회지 제21권 제5호
- 발행연도
- 2004.5
- 수록면
- 55 - 63 (9page)
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초록· 키워드
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This paper presents neural network based controller using the feedback error learning technique for a heavy load pointing system. Also the mathematical model was developed to analyze heavy load pointing system. The control scheme consists of a feed forward neural network controller and a fixed-gain feedback controller. This neural network controller is trained so as to make the output of the feedback controller zero. The proposed controller is compared with the conventional PI controller through simulations, and the results show that the pointing accuracy of the proposed control system are improved against the disturbance induced by vehicle running on the bump course.
목차
ABSTRACT
1. 서론
2. 수학적 모델
3. 신경망 제어기 설계
4. 시뮬레이션
5. 결론
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UCI(KEPA) : I410-ECN-0101-2009-555-016816978