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基于多个代理系统的合作控制速度,几乎合的列车组成的融合
Chuanzhen Liu1,2, Zhongwei Xu1
1School of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
本研究介绍了火车车队的分布式控制算法,确保安全的距离和轨迹跟踪,尽管通信限制和干扰. 该方法保证在预定义的安全约束范围内稳定的列车运动.
科学领域:
- 控制系统工程 控制系统工程
- 运输系统 运输系统
- 应用数学 应用数学 应用数学
背景情况:
- 在列车车队中保持一致的间距对于运营安全和效率至关重要.
- 由于通信限制 (距离,带宽) 和未知的外部干扰,现有的控制方法面临挑战.
- 确保遵守列车间距离的安全严格限制是重要的运营要求.
研究的目的:
- 为列车车队提出一个分布式的合作控制算法,以确保速度趋同并保持安全距离.
- 解决实际的运营限制,包括有限的通信范围和带宽.
- 制定一个强大的控制策略,以弥补未知的外部干扰和模型不确定性.
主要方法:
- 基于屏障莱普诺夫函数 (BLF) 的分布式列车形成速度融合合作控制算法被提出.
- 每列火车都设计了一个分布式观察器,用相邻的火车状态来估计未知的参考轨迹和干扰.
- 非线性自适应控制理论与BLF集成,以处理模型参数不确定性并执行间隔硬约束.
主要成果:
- 拟议的算法使所有列车能够准确地跟踪参考轨迹.
- 它确保列车间距离保持在预定义的安全间隔内,满足严格的约束.
- 闭环系统表现出异常稳定性,通过广州地铁22号线的实际案例研究得到验证.
结论:
- 开发的基于障碍力普诺夫功能的自适应控制方法有效地管理在实际约束下列车组成.
- 分布式观察者成功地估计和补偿未知的因素,增强控制的稳定性.
- 该算法为安全和稳定的列车间距控制提供了可靠的解决方案,并得到了现实数据的证实.
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