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Adaptive control of MEMS gyroscope using fully tuned RBF neural network

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Abstract

In this paper, a novel adaptive control scheme that incorporates fully tuned radial basis function (RBF) neural network is proposed for the control of MEMS gyroscope with respect to external disturbances and model uncertainties. An adaptive fully tuned RBF neural network controller is used to compensate the effect of external disturbances and model uncertainties, thus improving the dynamic characteristics and robustness of the MEMS gyroscope. The fully tuned RBF neural network compensating controller and the adaptive nominal controller are combined in the unified Lyapunov framework to ensure the stability of the control system. By using the proposed scheme, not only the effect of model uncertainties and external disturbances can be eliminated, but also satisfactory dynamic characteristics and strong robustness can be obtained. Simulation studies are implemented to verify the effectiveness of the proposed scheme and demonstrate that the fully tuned RBF network control has better robustness and dynamic characteristics than traditional RBF network control.

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Acknowledgments

The authors thank the anonymous reviewers for their useful comments that improved the quality of the paper. This work is partially supported by National Science Foundation of China under Grant No. 61374100; Natural Science Foundation of Jiangsu Province under Grant No. BK20131136; the University Graduate Research and Innovation Projects of Jiangsu Province under Grant No. CXLX12_0235; and the Fundamental Research Funds for the Central Universities under Grant No. 2014B32814.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Hohai University, Changzhou, 213022, China

    Juntao Fei & Dan Wu

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  1. Juntao Fei
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  2. Dan Wu
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Correspondence to Juntao Fei.

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Fei, J., Wu, D. Adaptive control of MEMS gyroscope using fully tuned RBF neural network. Neural Comput & Applic 28, 695–702 (2017). https://doi.org/10.1007/s00521-015-2098-2

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  • DOI: https://doi.org/10.1007/s00521-015-2098-2

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