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
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 International Journal of Control Automation and Systems International Journal of Control Automation and System Vol.4 No.1
- 발행연도
- 2006.2
- 수록면
- 17 - 29 (13page)
이용수
초록· 키워드
오류제보하기
A novel inverse kinematics solution based on the back propagation neural network (NN) for redundant manipulators is developed for online obstacles avoidance. A laser transducer at the end-effctor is used for online planning the trajectory. Since the inverse kinematics in the present problem has infinite number of joint angle vectors, a fuzzy reasoning system is designed to generate an approximate value for that vector. This vector is fed into the NN as a hint input vector rather than as a training vector to guide the output of the NN. Simulations are implemented on both three- and four-link redundant planar manipulators to show the effectiveness of the proposed position control system.
목차
Abstract
1. INTRODUCTION
2. PROBLEM SETTING AND EXPLORING SENSOR
3. CONCEPT FORMULATION
4. CONSTRUCTION OF PROPOSED CONTROL SYSTEM
5. SIMULATION RESULTS
6. DISCUSSION
7. CONCLUSIONS
REFERENCES
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