Train Speed Following Control Based on Precise Parking and Energy Saving Optimization

Abstract

Objective Automatic train operation (ATO) can achieve train autonomic running by controlling each actuator of the train, and is of great significance to reduce the operating cost of rail transit and further ensure train operation safety. In response to the problems such as low parking precision and failure to optimize energy consumption with the single control method in the process of ATO speed following control, a strategy for ATO speed following control is proposed. Method Based on the traditional PID (proportional integral-differential) control, the proposed approach performs online turning and adjustment of PID parameters by using fuzzy controller, and designs algorithms for train precise parking and energy saving operation separately. When the train is running closer to the stopping point, the speed feedback control method based on the preset target speed will fall out of use, the acceleration required for precise parking is calculated instead, and the acceleration feedback control is performed to improve the parking precision. At the same time, an energy saving cruise condition with traction-coasting cycle during the train cruise is designed. When the train is detected to meet a certain cruise condition, the corresponding condition shall be used to optimize the overall operation energy consumption. Result & Conclusion A simulation model for the train and controller is established in MATLAB/Simulink simulation software. The proposed method and model are verified to be effective by comparing the performance indicators such as precise parking and energy saving under PID control and fuzzy adaptive PID control.

Keywords

• urban rail transit
• automatic train operation
• fuzzy adaptive control
• speed following control
• precise parking
• energy saving optimization