首页 | 本学科首页   官方微博 | 高级检索  
     

模糊神经网络在移动机器人信息融合中的应用
引用本文:丁承君,张明路,段 萍. 模糊神经网络在移动机器人信息融合中的应用[J]. 控制理论与应用, 2004, 21(1): 59-62
作者姓名:丁承君  张明路  段 萍
作者单位:河北工业大学,机械学院,天津,300130;河北工业大学,机械学院,天津,300130;河北工业大学,机械学院,天津,300130
基金项目:河北省自然科学基金项目(501031); 天津市自然科学基金项目(003601211).
摘    要:针对移动机器人所用的传感器,提出了一种用于多传感器信息融合的方法,将模糊逻辑和神经网络结合起来,构建了模糊神经网络,并建立了网络的计算模型.通过建立的模糊神经网络对移动机器人的多传感器信息进行融合,实现了移动机器人对动态环境中障碍和环境类型的实时识别以及无冲突运动.网络的训练和试验表明该方法在移动机器人躲避运动物体中是可行的.

关 键 词:模糊神经网络  移动机器人  信息融合  运动物体
文章编号:1000-8152(2004)01-0059-04
收稿时间:2001-06-15
修稿时间:2003-03-31

Application of fuzzy neural networks in information fusion for mobile robot
DING Cheng-jun,ZHANG Ming-lu,DUAN Ping. Application of fuzzy neural networks in information fusion for mobile robot[J]. Control Theory & Applications, 2004, 21(1): 59-62
Authors:DING Cheng-jun  ZHANG Ming-lu  DUAN Ping
Affiliation:School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130,China
Abstract:An information fusion method of multi-sensor was proposed according to sensors used in mobile robots. The fuzzy logic and neural network were combined to construct fuzzy neural networks (FNN), and the calculating models of fuzzy neural networks were also put up. The mobile robot could recognize moving obstacles and environment types online, and could decide its action by using the information fusion method put forward, and thus realize mobile robot's movement without collision in dynamic environment. The training of network and test results indicated that the method which was used in avoiding moving obstacles of mobile robot is practicable and effective.
Keywords:fuzzy neural networks   mobile robot   information fusion   moving obstacle
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《控制理论与应用》浏览原始摘要信息
点击此处可从《控制理论与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号