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Research Article | Open Access

Delay-dependent anti-disturbance control of electric vehicle based on collective observers

Zigui Kang1Tao Li2( )Xiaofei Fan3
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, 210044, China
School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China
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Abstract

An improved anti-disturbance strategy is proposed to guarantee lateral stability for electric vehicles with external disturbance and input time delay. Firstly, the T-S fuzzy model is applied to describe active front wheel steering system (AFS). Based on the obtained model, a new collective observers including disturbance observer and state observer are structured to estimate disturbance and state simultaneously. Then, a compound control is designed by using the estimation values of collective observers. During the design process, a novel path-independent fuzzy Lyapunov-Krasovskii function (FLKF) and slack variable matrices are introduced to reduce conservatism. Finally, two simulation cases are implemented on Matlab/Simulink-Carsim to show the effectiveness of the proposed method.

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AIMS Mathematics
Pages 14684-14703

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Cite this article:
Kang Z, Li T, Fan X. Delay-dependent anti-disturbance control of electric vehicle based on collective observers. AIMS Mathematics, 2023, 8(6): 14684-14703. https://doi.org/10.3934/math.2023751

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Received: 11 February 2023
Revised: 27 March 2023
Accepted: 30 March 2023
Published: 15 June 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)