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Open AccessDOI: 10.1186/s10033-025-01298-4Original Research

Improving Path Tracking Performance of 4WIS Vehicles via Constraint-Oriented Consistent Coordinated Steering

Zeyu Yang¹,Yusheng Dai¹,Manjiang Hu¹,Yougang Bian¹,Qingjia Cui¹,Yang Li¹

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China

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Improving Path Tracking Performance of 4WIS Vehicles via Constraint-Oriented Consistent Coordinated Steering
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Published In
Chinese Journal of Mechanical Engineering
Published:January 15, 2025Edition:Vol. 38, Issue 1 • pp. 158Citation:Zeyu Yang et al. (2025), Chinese Journal of Mechanical Engineering
Impact FactorPeer-Reviewed Core
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Keywords & Index Terms:Autonomous drivingVehicle dynamics

Key Takeaways & Executive Findings

  • • Introduces a novel four-wheel consistent coordinated steering control for 4WIS vehicles, reconfiguring Ackerman steering relationships as coupling constraints. • Utilizes constraint-following control to achieve uniform boundedness and uniform ultimate boundedness of the Ackerman steering principle constraint error. • Demonstrates through Carsim/Simulink joint simulation that the algorithm ensures approximate satisfaction of the Ackerman steering principle in both transient and steady-state path tracking. • Significantly improves path tracking performance of 4WIS vehicles, reducing tire wear and enhancing safety and efficiency.
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Abstract

Research has shown that when vehicles follow the Ackerman steering principle (ASP), the tire wear can be reduced and the path tracking performance can be improved. However, in the case of four-wheel independent steering (4WIS) vehicles, the steering systems of the four wheels are relatively independent, and there are differences and uncertainties in individual steering dynamics, which lead to challenges for all four wheels in simultaneously satisfying the ASP and may deteriorate the vehicle path tracking performance. In response to this problem, this paper introduces a four-wheel consistent coordinated steering control for 4WIS vehicles. The algorithm innovatively reconfigures the Ackerman steering relationships as coupling constraints among the wheels, and utilizes the constraint-following method to design controller. The controller achieves uniform boundedness (UB) and uniform ultimate boundedness (UUB) of ASP constraint error. The Carsim/Simulink joint simulation results demonstrate that the algorithm guarantees the approximate satisfaction of ASP in both the transient and steady-state of the vehicle path tracking. Also, it significantly improves the path tracking performance.

1. Introduction

The automatic driving technology has great advantages in solving traffic problems and improving driving safety and fuel efficiency [1]. The most basic and important task of autonomous driving is to perform path tracking. Most of the past path tracking problems focus on the front-wheel steering (FWS) vehicles and have solved by linear quadratic regulator (LQR) [2], model predict control (MPC) [3–5], sliding mode control (SMC) [6, 7], and other methods [8–10]. FWS vehicles only rely on front wheels to control steering. This characteristic undoubtedly limits the steering performance. Now, four-wheel independent steering (4WIS) vehicles have gained a lot of attention due to their high flexibility. The steering system of 4WIS vehicles is essentially a redundant drive system. This allows it to realize FWS mode, four-wheel Ackerman steering mode, crab motion mode, and even zero-radius steering mode by combining different steering degrees of freedom. However, due to its inconsistencies of multiple actuators and system uncertainties, the path tracking problem of 4WIS vehicles has become a difficult point.

There are no mechanical constraints among the four wheels of 4WIS vehicles, and the path tracking is realized by the coordinated steering of four wheels. If the rear wheels are restricted from steering while the front wheels steer, the path tracking strategies of FWS vehicles are also applicable. However, these methods cannot take full advantage of 4WIS vehicles’ flexibility. There have been several studies on path tracking control considering the 4WIS vehicle characteristics, and most of them use the hierarchical architecture [11–17]. The upper layer solves for the required virtual control variables to achieve the path tracking task (such as lateral forces, steering radius and equivalent steering angle). Meanwhile, in the lower layer, the desired steering angle for each wheel is calculated based on the virtual control variables.

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Cite This Research Paper
Zeyu Yang, Yusheng Dai, Manjiang Hu, Yougang Bian, Qingjia Cui, Yang Li (2025). Improving Path Tracking Performance of 4WIS Vehicles via Constraint-Oriented Consistent Coordinated Steering. Chinese Journal of Mechanical Engineering. https://doi.org/10.1186/s10033-025-01298-4
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Frequently Asked Questions

What is the main contribution of this paper?

The paper introduces a four-wheel consistent coordinated steering control for 4WIS vehicles, which reconfigures the Ackerman steering relationships as coupling constraints and uses constraint-following control to ensure uniform boundedness and uniform ultimate boundedness of the constraint error, thereby improving path tracking performance.

How does the proposed method handle uncertainties in 4WIS vehicles?

The method uses constraint-following control, which is robust to system uncertainties and differences in individual steering dynamics, ensuring that all four wheels approximately satisfy the Ackerman steering principle despite these uncertainties.

What are the simulation results demonstrating the effectiveness of the algorithm?

Carsim/Simulink joint simulation results show that the algorithm guarantees approximate satisfaction of the Ackerman steering principle in both transient and steady-state path tracking, and significantly improves path tracking performance.

Why is the Ackerman steering principle important for 4WIS vehicles?

Following the Ackerman steering principle reduces tire wear and improves path tracking performance, which is crucial for the safety and efficiency of autonomous driving.

What are the potential applications of this research?

This research can be applied to autonomous vehicles, particularly those with four-wheel independent steering, to enhance their path tracking accuracy and stability, contributing to safer and more efficient autonomous driving systems.

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