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Fuzzy Non-singular Terminal Sliding Mode Controller Design for Nonlinear Systems with Input Saturation

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Abstract

The current work has proposed an approach to the controller design of a fuzzy non-singular terminal sliding mode (NTSM) for a type of planar systems with input saturation. On the basis of a modified version of NTSM, a category of saturated NTSM controller is first constructed to ensure that the states can reach the sliding surface and finite-time converge to the origin. On this basis, a fuzzy logic controller including two fuzzy input variables and a fuzzy output variable is developed to adaptively adjust the control gain such that the gain of the NTSM controller can be automatically minimized. This also implies that the chattering phenomenon encountered by most conventional sliding mode control (SMC) schemes can be significantly attenuated without sacrificing inherent properties. Finally, in comparison with a traditional SMC method, the superiority of the presented algorithm is confirmed by the comparative simulation results in terms of chattering alleviation and robustness.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (61973142), the Jiangsu Natural Science Foundation for Distinguished Young Scholars (BK20180045), the Priority Academic Program Development of Jiangsu Higher Education Institutions, the Six Talent Peaks Project in Jiangsu Province (XNYQC-006), the China Scholarship Council (No. 201908320317) and Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_1612).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China

    Keqi Mei & Shihong Ding

  2. Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong, Linyi University, Linyi, 276005, China

    Shihong Ding & Xiangyong Chen

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  1. Keqi Mei
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  2. Shihong Ding
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Correspondence to Shihong Ding.

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Mei, K., Ding, S. & Chen, X. Fuzzy Non-singular Terminal Sliding Mode Controller Design for Nonlinear Systems with Input Saturation. Int. J. Fuzzy Syst. 22, 2271–2283 (2020). https://doi.org/10.1007/s40815-020-00915-9

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