지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 169 - 173 (5page)
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초록· 키워드
오류제보하기
Iterative learning control(ILC) is used to track the trajectory of repetitive motion, especially for industrial robot. The proposed control scheme is based upon the feedback of tracking error and corresponding change rate, which construct a switching surface, with the use of a proportional structure, for which it is called sliding mode-like P-type ILC. In addition, an adaptive item was added to not only cope with the unknown parameters and disturbances but also. remove chatter phenomenon happening in control process. To verify the proposed control law, a conventional PD ILC and an adaptive PD ILC are added as comparison with all the same setting conditions. We use root mean square error (RSME) each iteration trial as performance evaluation index. Finally, simulation results are provided to illustrate the effectiveness of the proposed controller. As a result, it can achieve better performance.
목차
Abstract
1. INTRODUCTION
2. PROBLEM FORMULATION
3. ALGORITHM DESIGN AND ANALYSIS
4. SIMULATION RESULTS
5. CONCLUSION
REFERENCES
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