Study Of Automatic Train Operation (ATO) System

With the rapid development of China, urbanization of China has dramatically accelerated, the construction of urban rail transit and the development of tunnel has rapidly developed, the overall size of urban underground space of China has been the front ranks of total ranks in the world. Development and utilization of urban underground space has been an important means to enhance the city's capacity and ease urban traffic, and an important way to build cities of resource-saving and environment-friendly.In China, construction of urban rail transit is the main meanings for using urban underground space, since urban rail trains can largely alleviate the traffic pressure. Automatic train control (ATC) system can not only be reasonable to provide the scheme to optimize the train control program, to ensure the safety of train operation and passenger comfort, but also can effectively improve the trains' average running speed and achieve reach the purpose of saving energy. Therefore it is very important to study the Automatic train control system.Based on the current, speed dual-loop system model of DC motor, internal model control (IMC) algorithm is used to control the motor. The internal model control has the advantage of fast response, robustness, especially for the model with a larger mismatch. Since its advantage of the interference suppression ability of the process, it is easier to ensure its robustness and stability, and achieve better control.The NI PXI-based and real-time programmable automation control (PAC) platform suited for high-precision monitoring. Therefore take advantage of NI's graphical software LabVIEW RT (real time), based on NI PXI hardware, it is convenient to develop PAC controller monitoring and control system.This article introduced improved algorithm for train stationarity and passenger comfort evaluation. As long as realized the simulation with hardware-in-the-loop.