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基于自适应模糊控制的智能车控制系统研究
引用本文:林焕新,胡跃明,陈安.基于自适应模糊控制的智能车控制系统研究[J].计算机测量与控制,2011,19(1).
作者姓名:林焕新  胡跃明  陈安
作者单位:华南理工大学精密电子制造装备教育部工程研究中心,广东广州,510641
摘    要:在基于CMOS传感器的自主循迹智能车的基础上,设计实现了一种自适应模糊控制器;该控制器与传统的模糊控制器相比,在结构上有了很大的改进;该控制器采用了前后两级的复合结构,在增加少量运算量的情况下,达到四输入两输出的能力,同时加入了自适应算法,通过对路况信息的判断来调整模糊控制器的参数,在不损失智能车系统稳定性的情况下提高了系统的动态性能,使智能车适应于各种复杂的路况.

关 键 词:自适应  模糊控制器  智能车

Research on Control System of Intelligent Car Based on Self-adaptive Fuzzy Control
Lin Huanxin,Hu Yueming,Chen An.Research on Control System of Intelligent Car Based on Self-adaptive Fuzzy Control[J].Computer Measurement & Control,2011,19(1).
Authors:Lin Huanxin  Hu Yueming  Chen An
Affiliation:Lin Huanxin,Hu Yueming,Chen An(State Engineering Research Center of Precision Electronic Manufacturing Equipments,College of Automation Science and Engineering,South China University of Technology,Guangzhou 510641,China)
Abstract:A self-adaptive fuzzy controller based on robotic vision are studied,to conquer the influences of nonlinearity,coupling and uncertainty existed in the self-determination detect-line car.Compared with the other controllers,there is a significant improvement in the controller structure.It is a compound structure,with four inputs and two outputs.Additionally,a self-adaptive algorithm is used to adjust the controller's parameters by traffic information.The dynamic performance of intelligent car system have been...
Keywords:self-adaptive algorithm  fuzzy controller  intelligent car  
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