Research On Optimal Control Strategies Of Automatic Train Operation (ATO) In Urban Rail Transit

The most important thing of rail transit development in China is to make the urban rail trains operate automatically in a safe, smooth and efficient manner. Research and optimization on control strategy for automatic train operation (ATO) is the effective protection of the automatic train operation. It makes difference on the safety, on time, comfort, fuel consumption that the train runs with different control strategies, so the research on control strategy for ATO is very important. Currently, the research on the ATO control strategies is just for a single line and special indicators both at home and abroad, and most of the control strategies can't realize the real time online optimization in the process. However, rapid development of the artificial intelligence control technology and the optimization theory has provided strong support for the research on the control strategies of ATO.First of all, the thesis proposed a new series evaluation indicators of ATO control strategies based on analyzing the theories and technologies about the ATO driving strategy and the process of the train driving environment. In the next place, on basis of the improvement of the tradition genetic algorithms, we researched and designed a new algorithm of optimal control strategy of ATO, which optimizes the ATO control strategies. And then we developed the applicable software of ATO optimal control strategy based on the VC++, and it can automatically provide the train an optimized control strategy which is the most appropriate for the run line and running environment, and this can also satisfy the safety and smooth of the train and meet the requirements such as driving accuracy, security, passenger comfort, energy-saving measures. Finally, through the comparison of the traditional fuzzy controller, we design the fuzzy controller based on the parameter self-tuning, do simulation traces to the ATO speed curve of optimal control strategy by using the fuzzy controller, and this ensures the robustness of control system on the premise of realizing the trains stop as scheduled.