대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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- Pages.2711-2713
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- 2005
벡스테핑 기법 기반 자기 회귀 웨이블릿 신경 회로망을 이용한 로봇 시스템의 강인 제어
Robust Control of the Robotic Systems Using Self Recurrent Wavelet Neural Network via Backstepping Design Technique
- Yoo, Sung-Jin (Dept. of Electrical & Electronic Engineering, Yonsei University) ;
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Choi, Yoon-Ho
(School of Electronic Engineering, Kyongggi University) ;
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Park, Jin-Bae
(Dept. of Electrical & Electronic Engineering, Yonsei University)
- 발행 : 2005.07.18
초록
This paper presents the tracking control method of robotic systems with uncertainties using self recurrent wavelet neural network (SRWNN) via the backstepping design technique. The SRWNN is used as the uncertainty observer of the robotic systems. The adaptation laws for weights of the robotic systems are induced from the Lyapunov stability theorem, which are used for on-line controlling robotic systems. Computer simulations of a three-link robot manipulator with uncertainties verify the validity of the proposed SRWNN controller.
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