한국공작기계학회:학술대회논문집 (Proceedings of the Korean Society of Machine Tool Engineers Conference)
- 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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- Pages.122-127
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- 2001
디지털 시그널 프로세서를 이용한 로봇 매니퓰레이터의 적응-신경제어
The Adaptive-Neuro Control of Robot Manipulator Using DSPs
초록
In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real-time control of robot system using DSPs.
키워드