A direct-drive robot adaptive controller based on neural networks /
The Lyapunov based theoretical development of a direct-drive neural network robot controller is shown in the paper. Derived equations of the adaptive neural network sliding-mode controller were verified on a real industrial direct-drive. 3.D.O.F. PUMA mechanism. The new neural network continuous sli...
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Main Authors: | , , |
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Format: | Book Chapter |
Jezik: | English |
Teme: | |
Sorodne knjige/članki: | Vsebovano v:
Proceedings of recent advances in soft computing '98 De Montfort University, July 2nd and July 3rd 1998. Vol. 2, Neural networks and fuzzy logic |
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Izvleček: | The Lyapunov based theoretical development of a direct-drive neural network robot controller is shown in the paper. Derived equations of the adaptive neural network sliding-mode controller were verified on a real industrial direct-drive. 3.D.O.F. PUMA mechanism. The new neural network continuous sliding-mode controller was successfully tested for trajectory tracking control tasks with respects to two criteria: convergence properties of the proposed control algorithm (high speed cyclic movement) and adaptation capability of the algorithm for sudden changes in the manipulator dynamics (load). |
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Fizični opis: | str. 230-242. |
ISBN: | 1857212592 |