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基于T-S型模糊神经网络的轮式机器人避障方法研究
引用本文:李会来,李小民,苏立军.基于T-S型模糊神经网络的轮式机器人避障方法研究[J].计算机测量与控制,2011,19(1).
作者姓名:李会来  李小民  苏立军
作者单位:军械工程学院,光学与电子工程系,河北,石家庄,050003
摘    要:针对超声波传感器产生的不确定信息,研究了一种基于Takagi-Sugeno(T-S)模型的模糊神经网络信息融合避障方法;对超声波传感器所获得的数据进行融合,建立控制器输入信号和机器人速度输出之间的模式映射关系;在MATLAB环境下对模糊神经网络避障算法进行了仿真,最后在实际环境中进行避障实验;实验结果表明,该算法具有较好的准确性和鲁棒性,能够适用于移动机器人的导航需要.

关 键 词:移动机器人  避障  模糊神经网络  信息融合

Research of Obstacle-avoidance Based on T-S-type Fuzzy Neural Network for Wheeled Mobile Robot
Li Huilai,Li Xiaomin,Su Lijun.Research of Obstacle-avoidance Based on T-S-type Fuzzy Neural Network for Wheeled Mobile Robot[J].Computer Measurement & Control,2011,19(1).
Authors:Li Huilai  Li Xiaomin  Su Lijun
Affiliation:Li Huilai,Li Xiaomin,Su Lijun(Department of Optics and Electronics Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)
Abstract:To deal with the uncertain data of the ultrasonic sensor,an obstacle avoidance method of data fusion based on Takagi-Sugeno-type(T-S) fuzzy neural network is given.This paper introduced the data fusion of the ultrasonic sensor and established the mapping-relationship between the input signals of a controller and the robot output-speed.The simulation of obstacle avoidance based on fuzzy neural network is performed under MATLAB environment,finally the applied experiment is carry out in practical environment.T...
Keywords:mobile robot  obstacle avoidance  fuzzy neural network  data fusion  
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