Automation Control System for Rail Transit Equipment in Forest Areas

The automation control system of railway transit equipment in forest areas is presented, especially the velocity control based on temporal-difference learning. The structure and components of rail transit equipment is introduced and analyzed. The dynamic model of rail transit equipment is built, and the velocity control based on temporal-difference learning is researched in detail. At last, the experiment of rail transit equipment in forest areas is verified the effectiveness of temporal-difference learning algorithm for velocity control.