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Robust Fault Estimation and Accommodation for a Class of T–S Fuzzy Systems with Local Nonlinear Models

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Abstract

This paper focuses on the problems of fault estimation and accommodation for a class of T–S fuzzy systems with local nonlinear models and having an external disturbance and sensor and actuator faults, simultaneously. A fuzzy robust fault estimation observer is designed to estimate the system state and sensor and actuator faults. Compared with existing results, the observer not only is robust to the disturbance but also has a wider application range and more freedom for design. To compensate for the effect of faults and to stabilize the closed-loop system, an observer-based fault-tolerant controller is proposed. The separate design of the observer and controller avoids coupling between them. Finally, a simulation is conducted to demonstrate the effectiveness of the proposed method.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61433004, 61273027), and Liaoning Province Science and Technology Key Project(2013219005) and IAPI Fundamental Research Funds 2013ZCX14. This work was supported also by the development project of Key Laboratory of Liaoning Province.

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  1. College of Information Science and Engineering and State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110004, China

    Jian Han, Huaguang Zhang, Yingchun Wang & Xiuhua Liu

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  1. Jian Han
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Correspondence to Huaguang Zhang.

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Han, J., Zhang, H., Wang, Y. et al. Robust Fault Estimation and Accommodation for a Class of T–S Fuzzy Systems with Local Nonlinear Models. Circuits Syst Signal Process 35, 3506–3530 (2016). https://doi.org/10.1007/s00034-015-0219-x

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