对具有异质延迟的连接车辆进行异步采样数据控制
1School of Information and Engineering, Dalian University, Dalian, 116622, China; The Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, 116622, China.
ISA transactions
|January 7, 2024
概括
本研究提出了一种异步采样数据控制方法,用于车辆车队,采样时间和延迟各不相同. 控制器确保了排的稳定性,并计算了可靠操作的最大采样间隔和延迟.
科学领域:
- 控制系统工程 控制系统工程
- 汽车工程 汽车工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 车辆排队需要强大的控制系统来确保安全运行.
- 异步采样和执行器延迟在网络控制系统中构成重大挑战.
- 异质的车辆动态和车辆间的拓结构使排队控制设计复杂化.
研究的目的:
- 开发一种异步采样数据控制器,用于具有异质采样和执行器延迟的车辆车队.
- 分析闭环跟踪错误动态,考虑不均的采样,车辆异质性和时间延迟.
- 为了保证稳定性性能,并确定最大允许的采样间隔和时间延迟.
主要方法:
- 为每个追随车辆设计一个异步采样数据控制器.
- 将排跟踪错误动态分解为单个子系统,以进行简化分析.
- 利用利亚普诺夫稳定理论来得出最佳的控制条件.
- 将该方法扩展到车辆排队的基于事件的采样方案.
主要成果:
- 为车辆排队提出了一种新的异步采样数据控制策略.
- 控制器有效地管理异质采样,车辆动态和执行器延迟.
- 稳定性得到保证,并提供了对最大采样间隔和延迟的精确计算.
- 数字示例验证了拟议的控制方法的有效性.
结论:
- 开发的异步采样数据控制方法提高了车辆排队的稳定性和可靠性.
- 该方法解决了诸如非同步时钟和不同通信延迟等实际挑战.
- 这些发现有助于推进自动驾驶和合作车辆系统的发展.
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