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.
关键词
多传感器信息融合/地面移动机器人/避障路径/模糊神经网络
Key words
Multi-Sensor Information Fusion/Ground Mobile Robot/Obstacle Avoidance Path/Fuzzy Neu-ral Network
维普
万方数据