A robust adaptive control of a parallel robot |
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Authors: | B. Achili B. Daachi Y. Amirat A. Ali-cherif |
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Affiliation: | 1. Computer Science Lab. LIASD , University of Paris 8 , 2, rue de la liberté, 93526 St Denis, France;2. Images, Signals and Intelligent Systems Lab. LISSI , University of Paris Est Creteil (UPEC) , 120-122 rue Paul Armangot, 94400 Vitry/Seine, France achili@ai.univ-paris8.fr;4. Images, Signals and Intelligent Systems Lab. LISSI , University of Paris Est Creteil (UPEC) , 120-122 rue Paul Armangot, 94400 Vitry/Seine, France;5. Computer Science Lab. LIASD , University of Paris 8 , 2, rue de la liberté, 93526 St Denis, France |
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Abstract: | The work presented in this article deals with the robust adaptive control tracking of a 6 degree of freedom parallel robot, called C5 parallel robot. The proposed approach is based on the coupling of sliding modes and multi-layers perceptron neural networks (MLP-NNs). It does not require the inverse dynamic model for deriving the control law. The MLP-NN is added in the control scheme to estimate the gravitational and frictional forces along with the non-modelled dynamic effects. The nonlinearity problem, present in neural networks, is resolved using Taylor series expansion. The proposed approach allows to adjust the parameters of neural network and sliding mode control terms by taking into account a reference model and the closed-loop stability in the Lyapunov sense. We implemented our approach on the C5 parallel robot of LISSI laboratory and performed experiments to observe its effectiveness and the robust behaviour of the controller against external disturbances. |
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Keywords: | robust control neural network sliding modes stability analysis parallel robot |
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