RISE-based adaptive control of electro-hydraulic servo system with uncertain compensation

Xiaohan Yang; Yinghao Cui; Zhanhang Yuan; Jie Hang; Xiaohan Yang; Yinghao Cui; Zhanhang Yuan; Jie Hang

doi:10.3934/mbe.2023407

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 5: 9288-9304. doi: 10.3934/mbe.2023407

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RISE-based adaptive control of electro-hydraulic servo system with uncertain compensation

1.
Institute of Information Technology, Information Engineering University, Zhengzhou 450002, China
2.
School of Mechanical & Electronic Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
3.
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
4.
China Nuclear Power Engineering Co. LTD, Beijing 100840, China

Academic Editor: Xiaodi Li

Received: 09 November 2022 Revised: 08 February 2023 Accepted: 22 February 2023 Published: 16 March 2023

Electro-hydraulic servo system (EHSS) plays an important role in many industrial and military applications. However, its high-performance tracking control is still a challenging mission due to its nonlinear system dynamics and model uncertainties. In this paper, a novel adaptive robust integral method of the sign of the error (ARISE) with extended state observer (ESO) is proposed. Firstly, the nonlinear mathematical model of typical EHSS with modeling uncurtains and uncertain nonlinear is established. Then, ESO is used to estimate the state and lumped disturbance, of which the unknown parameter estimations can be updated by the novel adaptive law. Results shows that the novel controller achieves better tracking performance in maximum tracking error, average tracking error and standard deviation of the tracking error.
Citation: Xiaohan Yang, Yinghao Cui, Zhanhang Yuan, Jie Hang. RISE-based adaptive control of electro-hydraulic servo system with uncertain compensation[J]. Mathematical Biosciences and Engineering, 2023, 20(5): 9288-9304. doi: 10.3934/mbe.2023407

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Abstract

Electro-hydraulic servo system (EHSS) plays an important role in many industrial and military applications. However, its high-performance tracking control is still a challenging mission due to its nonlinear system dynamics and model uncertainties. In this paper, a novel adaptive robust integral method of the sign of the error (ARISE) with extended state observer (ESO) is proposed. Firstly, the nonlinear mathematical model of typical EHSS with modeling uncurtains and uncertain nonlinear is established. Then, ESO is used to estimate the state and lumped disturbance, of which the unknown parameter estimations can be updated by the novel adaptive law. Results shows that the novel controller achieves better tracking performance in maximum tracking error, average tracking error and standard deviation of the tracking error.

References

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