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Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection

机译:具有超速保护的列车轨迹跟踪的协调迭代学习控制方案

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This work embodies the overspeed protection and safe headway control into an iterative learning control (ILC) based train trajectory tracking algorithm to satisfy the high safety requirement of high-speed railways. First, a D-type ILC scheme with overspeed protection is proposed. Then, a corresponding coordinated ILC scheme with multiple trains is studied to keep the safe headway. Finally, the control scheme under traction/braking force constraint is also considered for this proposed ILC-based train trajectory tracking strategy. Rigorous theoretical analysis has shown that the proposed control schemes can guarantee the asymptotic convergence of train speed and position to its desired profiles without requirement of the physical model aside from some mild assumptions on the system. Effectiveness is further evaluated through simulations.
机译:这项工作将超速保护和安全的车距控制体现为基于迭代学习控制(ILC)的列车轨迹跟踪算法,以满足高速铁路的高安全性要求。首先,提出了一种具有超速保护的D型ILC方案。然后,研究了一种对应的多列火车协调ILC方案,以保持安全的行驶距离。最后,对于这种基于ILC的列车轨迹跟踪策略,还考虑了牵引力/制动力约束下的控制方案。严格的理论分析表明,除了对系统进行一些温和的假设外,所提出的控制方案可以保证列车速度和位置渐近收敛至所需的轮廓,而无需物理模型。通过模拟进一步评估有效性。

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