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Actuator Fault Compensation for Nonlinear Systems Using Adaptive Tracking Control

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Abstract

In this article, an actuator fault compensation strategy based on both fuzzy logic systems and sliding mode control for nonlinear systems is proposed to guarantee closed-loop stability in the presence of a fault. The fuzzy logic system is used to approximate the dynamics caused by the actuator fault and provides the corrective action. An illustrative example of the proposed design is included to show the effectiveness of the proposed method.

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Authors and Affiliations

  1. Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, Liaoning, 110004, P.R. China

    Yingwei Zhang, Jianchang Liu & Dong Xiao

  2. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, 2052, NSW, Australia

    Tim Hesketh

  3. School of Electrical Engineering, University of Manchester, Manchester, M60 1QD, UK

    Hong Wang

Authors
  1. Yingwei Zhang
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  2. Tim Hesketh
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  3. Hong Wang
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  4. Jianchang Liu
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  5. Dong Xiao
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Correspondence to Yingwei Zhang.

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Zhang, Y., Hesketh, T., Wang, H. et al. Actuator Fault Compensation for Nonlinear Systems Using Adaptive Tracking Control. Circuits Syst Signal Process 29, 419–430 (2010). https://doi.org/10.1007/s00034-010-9152-1

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  • DOI: https://doi.org/10.1007/s00034-010-9152-1

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