A bilateral control scheme for vehicle steer-by-wire system with road feel and steering controller design

Zheng, Hongyu; Hu, Jinghuan; Liu, Yahui

doi:10.1177/0142331217734502

Cited by 10 publications

(2 citation statements)

References 31 publications

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“…Remark 2. In the implementation of the vehicles control technique that are equipped with the active steering system SbW, due to the fact that the actual steering angle is generated via the front wheel steering motor, the steering controller drive the actual steering angle to exactly track the reference angle provided by the yaw control [25,37].…”

Section: Modeling and Problem Statementmentioning

confidence: 99%

Robust Controller Design for Steer-by-Wire Systems in Vehicles

Akchioui

Fezazi

et al. 2022

Lecture Notes in Electrical Engineering

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The steer-by-wire (SbW) technology enables to facilitate better steering control as it is based on an electronic control technique. The importance of this technology lies in replacing the traditional mechanical connections with steering auxiliary motors and electronic control and sensing units as these systems are of paramount importance with new electric vehicles. Then, this research paper discusses some difficulties and challenges that exist in this area and overcomes them by presenting some results. These results meet the SbW’s robust performance requirements and compensate oscillations from the moving part of the steering rack in the closed-loop system model: modeling, analysis and design. Thus, the issue of robust control for nonlinear systems with disturbances is addressed here. Finally, the results are validated through detailed simulations.

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Section: Modeling and Problem Statementmentioning

confidence: 99%

Robust Controller Design for Steer-by-Wire Systems in Vehicles

Akchioui

Fezazi

et al. 2022

Lecture Notes in Electrical Engineering

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“…Compared with the traditional mechanical system, the steer-by-wire system has many advantages, such as the further improvement of vehicle safety performance, driving characteristics and maneuverability, vehicle comfort and environmental protection. 1–5…”

Section: Introductionmentioning

confidence: 99%

Design and experimental implementation of observer-based adaptive neural network steering control for automated vehicles

Luo

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, an observer-based adaptive neural network controller is developed for the Steer-by-Wire (SbW) system of automated vehicles with uncertain nonlinearity and unmeasured state. An observer is introduced to estimate the angular velocity of the front wheels, so the hardware cost and the complexity of mechanical structure and electronic circuits are reduced. Then, an observer-based adaptive neural network controller is proposed for the SbW system to achieve excellent steering precision. A radial basis function (RBF) neural network is used to model the uncertain nonlinearity, which mainly includes self-aligning torque and unknown friction torque with strong nonlinearity. The adaptive law of the RBF neural network designed by fuzzy basis functions rather than by its filtering is derived by Lyapunov stability theory and the Strictly Positive Real (SPR) condition. The tracking error and the observation error can be guaranteed to converge asymptotically to zero. Simulation and experimental results for two paths highlight the effectiveness of the proposed control algorithm.

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