Research on Wall Climbing Robot Controller Based on ARM Linux

Aiming at the problems of low efficiency, high risk and high cost of manual ship rust removal, a wall climbing robot is developed for ship rust removal. The distributed control scheme of upper and lower computers is adopted to study the wall climbing robot controller based on arm linux, including remote sensor, comparator and its constituent circuit. By quoting the reinforcement learning algorithm Q-learning algorithm, the reinforcement learning tracking of the wall climbing robot is realized, the disadvantage that the traditional PID algorithm can not select the optimal action strategy for the environment is improved, and the tracking accuracy of the wall climbing robot in different environments is improved. The experimental results show that the wall climbing robot control system based on arm linux has good performance and can meet the requirements of the controller.