| 基于模糊神经网络的AGV避障路径研究 |
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| 引用本文： | 赵钰锟,顾文龙.基于模糊神经网络的AGV避障路径研究[J].科技信息,2011(27):I0059-I0060. |
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| 作者姓名： | 赵钰锟 顾文龙 |
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| 作者单位： | 安徽理工大学电气与信息工程学院; |
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| 摘 要： | 通过对AGV运动学模型进行分析,针对AGV在未知环境中的避障问题,将模糊控制与神经网络相结合,形成模糊神经网络控制器,对AGV行驶环境进行分析,将障碍物信息输入控制器,从控制器输出数据中找出避障最佳路径,利用模糊神经网络自学习和自适应能力,提高AGV避障的成功率。
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| 关 键 词： | 运动学模型 避障问题 模糊神经网络 |
Based on Fuzzy Neural Network of AGV Obstacle-avoidance Path Research |
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| ZHAO Yu-kun GU Wen-long.Based on Fuzzy Neural Network of AGV Obstacle-avoidance Path Research[J].Science,2011(27):I0059-I0060. |
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| Authors: | ZHAO Yu-kun GU Wen-long |
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| Institution: | ZHAO Yu-kun GU Wen-long (School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan Anhui,232001,China) |
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| Abstract: | Through the analysis of AGV kinematics model,according to the environment of AGV in unknown obstacle-avoidance problem,fuzzy control and neural network,a fuzzy neural network controller,formation of AGV travel environment were analyzed,will obstacles information input controller,output data from controller to find out the best path,obstacle-avoidance by using fuzzy neural network self-learning and adaptive ability,improve the success rate of AGV obstacle avoidance. |
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| Keywords: | Kinematics model Obstacle-avoidance problem Fuzzy neural network |
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