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Predictive Function Control for Communication-Based Train Control (CBTC) Systems

机译:基于通信的列车控制(CBTC)系统的预测功能控制

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In Communication-Based Train Control (CBTC) systems, random transmission delays and packet drops are inevitable in the wireless networks, which could result in unnecessary traction, brakes or even emergency brakes of trains, losses of line capacity and passenger dissatisfaction. This paper applies predictive function control technology with a mixed H-2/H-infinity control approach to improve the control performances. The controller is in the state feedback form and satisfies the requirement of quadratic input and state constraints. A linear matrix inequality (LMI) approach is developed to solve the control problem. The proposed method attenuates disturbances by incorporating. H-2/H-infinity into the control scheme. The control command from the automatic train operation (ATO) is included in the reward function to optimize the train's running profile. The influence of transmission delays and packet drops is alleviated through improving the performances of the controller. Simulation results show that the method is effective to improve the performances and robustness of CBTC systems.
机译:在基于通信的列车控制(CBTC)系统中,无线网络中的随机传输延迟和数据包滴在无线网络中是不可避免的,这可能导致不必要的牵引力,制动器甚至列车的紧急制动器,线路容量和乘客不满。本文采用混合的H-2 / H-Infinity控制方法应用预测功能控制技术,以改善控制性能。控制器处于状态反馈形式,满足二次输入和状态约束的要求。开发了线性矩阵不等式(LMI)方法以解决控制问题。所提出的方法通过结合来衰减干扰。 H-2 / H-无限远进入控制方案。来自自动列车操作(ATO)的控制命令包含在奖励功能中,以优化列车的运行配置文件。通过改善控制器的性能,减轻了传输延迟和分组液滴的影响。仿真结果表明,该方法有效地改善CBTC系统的性能和鲁棒性。

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