Fault-Tolerant Robust Output-Feedback Control of a Vehicle Platoon Considering Measurement Noise and Road Disturbances

IF 2.5 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Fernando Viadero-Monasterio, Miguel Meléndez-Useros, Manuel Jiménez-Salas, María Jesús López Boada
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引用次数: 0

Abstract

As electric vehicle (EV) technology advances, platooning has emerged as a promising strategy to enhance energy efficiency and traffic flow. However, the effective deployment of EV platoons is challenged by the heterogeneous nature of vehicles, measurement noise in sensing systems, and the possibility of faults in the actuation. This study proposes a fault-tolerant control framework for heterogeneous EV platoons, ensuring robustness against measurement noise. The framework integrates fault estimation mechanisms with robust control strategies to mitigate the impact of faults and disturbances, thereby enhancing the reliability and safety of platoon operations. We demonstrate the effectiveness of the proposed approach in maintaining platoon cohesion and stability under diverse operating conditions, including scenarios with varying levels of measurement noise and fault occurrences through extensive simulations and experiments. The findings highlight the capability of our fault-tolerant control framework to promote the extensive implementation of EV platooning technology, thereby enhancing energy efficiency and traffic management in future transportation systems.

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Abstract Image

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考虑测量噪声和道路干扰的车辆排容错鲁棒输出反馈控制
随着电动汽车(EV)技术的进步,车队已经成为提高能源效率和交通流量的一种有前途的策略。然而,由于车辆的异质性、传感系统的测量噪声以及驱动过程中可能出现的故障,电动汽车队列的有效部署受到了挑战。本研究提出了一种针对异构电动汽车队列的容错控制框架,以确保对测量噪声的鲁棒性。该框架将故障估计机制与鲁棒控制策略相结合,以减轻故障和干扰的影响,从而提高排作业的可靠性和安全性。我们通过广泛的模拟和实验证明了所提出的方法在各种操作条件下(包括具有不同测量噪声水平和故障发生的情况)保持排凝聚力和稳定性的有效性。研究结果强调了我们的容错控制框架能够促进电动汽车队列技术的广泛实施,从而提高未来交通系统的能源效率和交通管理。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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