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

Zigui Kang; Tao Li; Xiaofei Fan; Zigui Kang; Tao Li; Xiaofei Fan

doi:10.3934/math.2023751

AIMS Mathematics

2023, Volume 8, Issue 6: 14684-14703. doi: 10.3934/math.2023751

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

1.
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2.
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, 210044, China
3.
School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China

Received: 11 February 2023 Revised: 27 March 2023 Accepted: 30 March 2023 Published: 20 April 2023

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.
- vehicle lateral stability,
- collective observers,
- anti-disturbance control,
- input time-delay,
- path-independent FLKF
Citation: Zigui Kang, Tao Li, Xiaofei Fan. Delay-dependent anti-disturbance control of electric vehicle based on collective observers[J]. AIMS Mathematics, 2023, 8(6): 14684-14703. doi: 10.3934/math.2023751

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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.

References

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