Extended state observer based fractional order sliding mode control for steer‐by‐wire systems

Quangang Shi; Shuping He; Hai Wang; Vladimir Stojanovic; Kaibo Shi; Wenjun Lv

doi:10.1049/cth2.12569

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$Extended state observer based fractional order sliding mode control for steer‐by‐wire systems$

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Extended state observer based fractional order sliding mode control for steer‐by‐wire systems

Quangang Shi, Shuping He, Hai Wang, Vladimir Stojanovic, Kaibo Shi and Wenjun Lv

IET control theory & applications, Early View

2023

DOI: https://doi.org/10.1049/cth2.12569

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Abstract

In this paper, an extended state observer based fractional‐order sliding mode control strategy is studied for vehicle steer‐by‐wire systems (SBWSs). The parameter perturbation and external interference are considered in the dynamic model of SBWSs. A fractional‐order sliding mode control scheme is designed to solve the tracking problem and improve the control performance. An extended state observer is further used to estimate the lumped disturbance, and then the estimated value is considered as a feedforward compensation to reduce the chattering phenomenon. Finally, comparison simulation results show that the excellent steering tracking and strong robustness performance have been achieved by the proposed control strategy for SBWSs.

Details

Title: Extended state observer based fractional order sliding mode control for steer‐by‐wire systems
Authors/Creators: Quangang Shi - Anhui University
Shuping He - Anhui University
Hai Wang - Murdoch University, Centre for Water, Energy and Waste
Vladimir Stojanovic - University of Kragujevac
Kaibo Shi - Chengdu University
Wenjun Lv - University of Science and Technology of China
Publication Details: IET control theory & applications, Early View
Publisher: John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Identifiers: 991005617468007891
Copyright: © 2023 The Authors.
Murdoch Affiliation: School of Engineering and Energy; Centre for Water, Energy and Waste
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.29 Automation & Control Systems; 4.29.1251 Vehicle Dynamics Control
Web Of Science research areas: Automation & Control Systems; Engineering, Electrical & Electronic; Instruments & Instrumentation
ESI research areas: Engineering