Extended state observer based fractional order sliding mode control for steer‐by‐wire systems-Reference-Cited by-同舟云学术

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

Published:2023-11-08 Issue: Volume: Page:
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Shi Quangang¹,He Shuping¹^ORCID,Wang Hai²^ORCID,Stojanovic Vladimir³,Shi Kaibo⁴,Lv Wenjun⁵⁶

Affiliation:

1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electrical Engineering and Automation Anhui University Hefei P. R. China

2. Discipline of Engineering and Energy, Centre of Water, Energy and Waste Murdoch University Perth Australia

3. Department of Automatic Control, Robotics and Fluid Technique, Faculty of Mechanical and Civil Engineering University of Kragujevac Kraljevo Serbia

4. School of Electronic Information and Electrical Engineering Chengdu University Chengdu China

5. Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei Anhui China

6. Department of Automation University of Science and Technology of China Hefei Anhui China

Abstract

AbstractIn 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.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

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