对非线性地铁交通网络的模型验证和稳定状态反控制
Fatemeh Khosrosereshki1, Bijan Moaveni2
1Department of Control and Signaling, Faculty of Railway Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
ISA transactions
|March 22, 2024
概括
本研究提出了新的地铁网络 (SN) 非线性离散事件 (DE) 模型,并使用蒙特卡洛 (MC) 方法验证它. 一个强大的状态反 (RSF) 控制器旨在有效地管理网络延迟.
科学领域:
- * 运营研究 运营研究
- * 控制系统工程 * 控制系统工程
- *运输系统建模 *运输系统建模
背景情况:
- *地铁网络是复杂的系统,容易出现延误.
- *现有的模型可能无法完全捕捉地铁运行的动态和非线性性质.
- *需要有效的控制策略,以确保可靠的服务,并尽量减少中断.
研究的目的:
- * 开发一个非线性离散事件 (DE) 模型,用于地铁网络 (SN) 中的交叉线路 (IL).
- *使用蒙特卡洛 (MC) 仿真方法验证拟议的DE模型.
- * 设计和评估一个强大的状态反 (RSF) 控制器,以减轻延误.
主要方法:
- * 为地铁网络交叉线路开发非线性离散事件 (DE) 模型.
- * 应用蒙特卡洛 (MC) 方法进行模型验证,包括随机延迟率和外部干扰.
- * 设计一个强大的状态反 (RSF) 控制器,以补偿网络延迟.
- *使用德黑兰地铁2号线和4号线现实数据进行模拟研究.
主要成果:
- *开发的DE模型准确地反映了地铁网络的动态.
- *蒙特卡洛模拟证实了模型的有效性和性能.
- * RSF控制器有效地弥补了集中和分散配置中的延迟.
- *模拟结果证明了拟议方法的准确性和有效性.
结论:
- * 非线性DE模型为分析地铁网络运营提供了强大的框架.
- * RSF控制器是提高地铁系统弹性和性能的可行解决方案.
- * 该研究通过使用现实数据验证了拟议的建模和控制策略的有效性.
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