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基于模糊神经控制的机器人避障算法
引用本文:何文广.基于模糊神经控制的机器人避障算法[J].黑龙江工程学院学报,2008,22(3):63-66.
作者姓名:何文广
作者单位:黑龙江工程学院机电工程系,黑龙江哈尔滨150050
摘    要:针对以往机器人避障行为控制过程中存在的问题,提出基于模糊神经控制的机器人避障算法来实现机器人的实时、准确避障。该算法主要应用一定量的模糊规则与模糊Kohonen聚类网络的结合生成一种启发式的模糊神经网络,建立超声波传感器输入信号和机器人速度之间的模式映射关系。通过对算法的实验仿真,结果表明提出的避障算法是正确有效的。

关 键 词:机器人  模糊神经控制  避障  算法

The caculation of avoiding barriers for robot based on fuzzy neural control
HE Wen-guang.The caculation of avoiding barriers for robot based on fuzzy neural control[J].Journal of Heilongjiang Institute of Technology,2008,22(3):63-66.
Authors:HE Wen-guang
Affiliation:HE Wen-guang (Dept. of Electromechanic Engineering, Heilongjiang Institute of Technology, Harbin 150050, China)
Abstract:In order to solve the problems in control of the robot in its avoiding barriers, the method of the robot avoiding barriers is proposed based on fuzzy-neuro control. The disposal of the system of ultrasonic sensors and infrared sensors is given. Through the combination of heuristic fuzzy rules and the Kohonen clustering network, a heuristic fuzzy-neuro network is developed. This method builds up pattern-mapping between u. ltrasonic sensory input data and velocity command by applying the off-line and unsupervised training method to this network. A simulation result shows that the proposed method of the robot avoiding barriers is correct and efficient.
Keywords:robot  fuzzy-neuro control  avoiding barriers  caculation
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