A Novel Energy-Saving Steering Control Strategy Based on General Power Model for Multiaxle Steer-by-Wire Vehicles

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-01-22 DOI:10.1109/TIE.2024.3525109
Xiaolong Zhang;Qian Cheng;Heng Du;Jiawei Wan
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Abstract

The driving range of multiaxle steer-by-wire vehicles is significantly affected by the consumption of vehicle cornering resistance power (VCRP). This article addresses this issue by proposing a novel energy-saving steering control strategy to effectively reduce VCRP by optimizing slip angle. Initially, a general VCRP model is developed to establish a relationship between VCRP and the slip angles of each tire. Later, an adaptive nonsingular terminal sliding mode control method is proposed to balance control energy and state errors. In addition, an energy-saving steering angle optimization method is proposed based on the VCRP model, which achieves an optimal steering angle configuration by optimizing the slip angle. The efficacy of the proposed control strategy in energy-saving is evaluated by hardware-in-the-loop tests. The experimental results exhibit noteworthy reductions of more than 21% and 45% in VCRP under both high-friction and low-friction conditions of high speed, respectively, compared to the traditional Ackerman steering control strategies while maintaining excellent steering stability.
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基于通用功率模型的多轴线控转向车辆转向节能控制策略
车辆转弯阻力功率(VCRP)的消耗对多轴线控转向车辆的续驶里程有显著影响。针对这一问题,本文提出了一种新的节能转向控制策略,通过优化滑移角来有效降低VCRP。首先,建立了一个通用的VCRP模型,建立了VCRP与各轮胎滑移角之间的关系。然后,提出了一种自适应非奇异终端滑模控制方法来平衡控制能量和状态误差。在此基础上,提出了一种基于VCRP模型的转向角节能优化方法,通过优化转向角实现转向角的最优配置。通过硬件在环试验对所提出的控制策略的节能效果进行了评价。实验结果表明,在高速高摩擦和低摩擦工况下,与传统Ackerman转向控制策略相比,VCRP分别降低了21%和45%以上,同时保持了优异的转向稳定性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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