Design Of Automatic Train Operation Control Algorithm Based On Discrete Status

With the development of high-speed, automatic, intelligent railway, the method in Automatic Train Operation targeting safety, on-time, justifiability and energy-efficiency has drawn much attention.The ATO system is responsible for the train starting, dragging, coasting and breaking, which could significantly improve the train running efficiency, and provide a better experience than people controlled manner.In this dissertation, we introduce the present research background in the related field, talk about the dynamics characteristics of CRH train, and then present our own method in ATO. First, we discretize the train control problem which could take advantage of computer computing; second, based on the decision tree, we give out the mathematics model in train operating; third, we present our sliding-window method to solve this problem; fourth, we make optimization in the control method to meet the real-time computing needs.Using this algorithm, we make simulation to test this model, including the Jing-Hu high-speed railway and the designated parking. Also, we make a seris of test, from the Dispatch instructions to weight change while passenger leaving. Simulation result shows the correctness and efficacy.The experiment is base on the high speed train traction load simulation transmission platform to validate the proposed optimal control algorithm of the experiment. Through the real model scaling to experimental platform of the principle of certain, use of our control algorithm results to experimental control, get the more satisfied results, from hardware physical angle validation of our control algorithm. The last is the summary and prospect.