Reduced-order output fuzzy adaptive sliding mode controller for electro-hydraulic actuator system of heavy vehicle tracks

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Authors: Deyi Zhang, Jiangnan Luo, Jiatian Tang, Jinyu Cai, Songyong Liu, Qixin Zhu
Cited by: 1
References: 36

Abstract

Considering the model inaccuracy, parameter perturbations and heavy-load disturbances inherent in electro-hydraulic actuator system of heavy vehicle tracks, this paper proposes an output fuzzy adaptive sliding mode control method based on reduced-order model of electro-hydraulic actuator system. The proposed control scheme combines fuzzy adaptive state observer with fuzzy adaptive sliding mode controller. Compared with full-order EHAS control methods, the design complexity and number of control parameters of the proposed controller are reduced. Moreover, this controller does not rely on system model parameters and only requires displacement state to achieve precise control. In addition, the validity of the reduced-order modeling and the stability of the proposed control scheme are theoretically proved. Comparative simulation studies show that reduced-order output fuzzy adaptive sliding mode controller has the superior control performance, while its practical effectiveness is confirmed by experiment.

Fields of Study & Subjects

Hydraulic and Pneumatic Systems Vehicle Dynamics and Control Systems Vibration Control and Rheological Fluids

Publication details

Journal / source
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Publisher
SAGE Publications
Volume
240
Issue
9
Pages
2975–2987
Publication date
22 February 2026
Language
EN