Robust dynamic surface control of flexible joint robots using recurrent neural networks |
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Authors: | Zhiqiang MIAO and Yaonan WANG |
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Affiliation: | College of Electrical and Information Engineering, Hunan University,College of Electrical and Information Engineering, Hunan University |
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Abstract: | A robust neuro-adaptive controller for uncertain flexible joint robots is presented. This control scheme integrates H-infinity disturbance attenuation design and recurrent neural network adaptive control technique into the dynamic surface control framework. Two recurrent neural networks are used to adaptively learn the uncertain functions in a flexible joint robot. Then, the effects of approximation error and filter error on the tracking performance are attenuated to a prescribed level by the embedded H-infinity controller, so that the desired H-infinity tracking performance can be achieved. Finally, simulation results verify the effectiveness of the proposed control scheme. |
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Keywords: | Dynamic surface control Flexible joint robots Robust H-infinity control Recurrent neural network |
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