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基于视觉导航的AGV模糊-最优控制研究
引用本文:陈无畏,李碧春,孙海涛,许张红,蒋浩丰.基于视觉导航的AGV模糊-最优控制研究[J].中国机械工程,2006,17(24):2546-2550.
作者姓名:陈无畏  李碧春  孙海涛  许张红  蒋浩丰
作者单位:1. 合肥工业大学,合肥,230009
2. 安徽省公路运输管理局,合肥,230000
3. 南京交通职业技术学院,南京,211188
基金项目:安徽省自然科学基金;江苏省重点实验室基金
摘    要:介绍了基于视觉导航的路径识别算法,该算法能够较好地计算出自动引导车的相对位置,并通过相对位置信息,运用模糊一最优控制策略来实现自动引导车的路径跟踪控制。不同条件下所做的大量仿真计算均表明,基于视觉导航的模糊最优控制器工作稳定、切换平滑、跟踪控制误差小且有较好的抵抗外界噪声干扰能力。

关 键 词:自动引导车  视觉导航  路径跟踪  模糊-最优控制
文章编号:1004-132X(2006)24-2546-05
收稿时间:2005-05-14
修稿时间:2005-05-14

Study on Fuzzy-optimal Control of Vision Navigation for an AGV
Chen Wuwei,Li Bichun,Sun Haitao,Xu Zhanghong,Jiang Haofeng.Study on Fuzzy-optimal Control of Vision Navigation for an AGV[J].China Mechanical Engineering,2006,17(24):2546-2550.
Authors:Chen Wuwei  Li Bichun  Sun Haitao  Xu Zhanghong  Jiang Haofeng
Affiliation:1. Hefei University of Technology, Hefei, 230009 2. Anhui Transport Administration Burear, Hefei, 230000 3. Nanjing Instiute of Traffic Profession, Nanjing, 211188
Abstract:This paper introduced a novel path recognition algorithm based on vision navigation.The position parameters of the automatic guide vehicle(AGV) can be obtained by using the algorithm.Thus,based on the position information of the AGV,a fuzzy-optimal control strategy was presented to carry out the path-tracking task.Under different conditions,the simulations show that the fuzzy-optimal controller,based on vision navigation,can satisfy the demands of real time path-tracking.And the results also show that the controller has the performance of stable work,smooth switch,small tracking error and good noise-proof feature.
Keywords:AGV  vision navigation  path- tracking  fuzzy- optimal control
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