Adaptive event-triggered sliding mode control for platooning of heterogeneous vehicular systems and its L2 input-to-output string stability

IF 8.1 1区 计算机科学 N/A COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2024-08-21 DOI:10.1016/j.ins.2024.121342
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Abstract

Platooning of vehicular systems is an effective technique for enhancing transportation efficiency. As the scale of the vehicular platoon systems increases, disturbances on individual vehicles can affect the whole platoon through their connections. Besides, excessive vehicles impose a significant burden on communication devices. Towards this end, this work investigates the distributed platoon control problem of connected vehicular systems subject to disturbances by employing a resource-efficient communication mechanism. The proposed adaptive event-triggered mechanism (AETM) avoids periodic data transmission and reduces communication burden among vehicles. Besides, the AETM regulates the triggered threshold dynamically via the perception of spacing errors and avoids continuous inter-vehicle communication. Next, an AETM-based finite-time extended state observer (AFESO) is designed to alleviate the impact of the external disturbances. Then, an adaptive event-triggered distributed sliding mode control (DSMC) framework is developed to guarantee platoon stability. It is approved that, under the proposed control method, the closed-loop system subject to the disturbances satisfies the L2 input-to-output string stability (L2-IOSS). The salient feature of the AETM-based DSMC is that the AETM can effectively reduce communication consumption, while DSMC mitigates the performance degradation caused by triggering errors and disturbances. Finally, numerical simulations demonstrate the effectiveness of the proposed algorithm.

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用于异构车辆系统排队的自适应事件触发滑动模式控制及其 L2 输入输出串稳定性
车辆排成一排是提高运输效率的有效技术。随着车辆编队系统规模的扩大,单个车辆受到的干扰会通过其连接影响整个编队。此外,过多的车辆也会给通信设备带来很大负担。为此,本研究通过采用一种资源节约型通信机制,对受干扰的连接车辆系统的分布式排控制问题进行了研究。所提出的自适应事件触发机制(AETM)避免了周期性数据传输,减轻了车辆之间的通信负担。此外,AETM 还能通过感知间距误差动态调节触发阈值,避免连续的车辆间通信。接下来,设计了基于 AETM 的有限时间扩展状态观测器(AFESO),以减轻外部干扰的影响。然后,开发了一种自适应事件触发分布式滑模控制(DSMC)框架,以保证排稳定性。结果表明,在所提出的控制方法下,受干扰影响的闭环系统满足 L2 输入输出串稳定性(L2-IOSS)。基于 AETM 的 DSMC 的突出特点是,AETM 可以有效降低通信消耗,而 DSMC 则可以缓解触发误差和干扰造成的性能下降。最后,数值模拟证明了所提算法的有效性。
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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