Optimal control of rail transportation associated automatic train operation based on fuzzy control algorithm and PID algorithm

Abstract

Rail transportation develops rapidly in recent years, which has made great contribution to the solution of urban traffic jam and promoted the coordinated development of urban economy and environment. Automatic train operation (ATO) system can transform artificial train work into automatic train work. Therefore, the optimal control of ATO system is of great significance to the improvement of operation efficiency of rail transportation and the reduction of labor strength of train drivers. The regulation of train speed is the key of ATO system operation, and PID control algorithm is a common control algorithm. Train automatic drive can be realized through repeatedly debugging parameters through a large amount of experiments using the traditional PID control algorithm; however, it wastes time and energy and is complicated to operate. This study made optimal control on rail transportation associated ATO using fuzzy control algorithm in combination with PID control algorithm to make up for deficiencies, with the intention of achieving the control on the train start and speed, direction adjustment and accurate control of train parking and cruising.