Research on Control Strategy of Ground Mobile Robot's Path Avoidance
Aiming at the obstacle avoidance requirements of the ground mobile robot in the complex working environment,the fuzzy controller algorithm and the fuzzy neural network algorithm are designed respectively.Firstly,a multi-sensor de-tection system is installed on the ground mobile robot.On this basis,an adaptive weighted multi-sensor information fusion model is designed,and the result of the fusion algorithm is used as the input of the obstacle avoidance control algorithm.On the basis of fuzzy neural network algorithm and fuzzy controller,the real obstacle avoidance path of the ground mobile robot is simulated.The results show that the obstacle avoidance path of the ground mobile robot under the fuzzy neural network al-gorithm is smoother.The distance is greater.Finally,through the obstacle avoidance experiment on the ground mobile robot experimental platform,the superiority and reliability of the fuzzy neural network obstacle avoidance algorithm are verified.
Multi-Sensor Information FusionGround Mobile RobotObstacle Avoidance PathFuzzy Neu-ral Network
万方数据
维普
