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Fuzzy Disturbance Observer Design for a Class of Nonlinear SISO Systems

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Abstract

In this paper, a novel fuzzy disturbance observer (DOB) is designed for a class of nonlinear single-input–single-output (SISO) systems. The main feature of the proposed DOB lies in that only the control input and system output information is required. According to the output information and mathematical model of the original SISO system, an auxiliary system is constructed to estimate the disturbance. The estimation result is generated by comparing the control input of the original system with the input variable of the auxiliary system. On this basis, a fuzzy logic controller is introduced to obtain the time-varying parameter such that the estimation error can be automatically minimized. Then, the design method of the aforementioned fuzzy DOB is systematically described through a numerical example and the continuous stirred tank reactor system. Finally, a fuzzy DOB based composite controller is presented for the missile roll stabilization system to verify its effectiveness in practical engineering.

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Acknowledgements

This work is supported by the National Science Foundation of China under Grant 61973142, the Jiangsu Natural Science Foundation for Distinguished Young Scholars under Grant BK20180045, the PAPD of Jiangsu Higher Education Institutions and the Six Talent Peaks Project in Jiangsu Province under Grant XNYQC-006.

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Authors and Affiliations

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

    Qiankang Hou, Li Ma & Shihong Ding

  2. Discipline of Engineering and Energy, Murdoch University, Perth, WA, 6150, Australia

    Hai Wang

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  1. Qiankang Hou
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  2. Li Ma
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  4. Shihong Ding
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Correspondence to Shihong Ding.

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Hou, Q., Ma, L., Wang, H. et al. Fuzzy Disturbance Observer Design for a Class of Nonlinear SISO Systems. Int. J. Fuzzy Syst. 24, 147–158 (2022). https://doi.org/10.1007/s40815-021-01116-8

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