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基于模糊神经网络的车辆间距智能自适应控制
引用本文:余晓江,胡学军,胡于进,王学林.基于模糊神经网络的车辆间距智能自适应控制[J].华中科技大学学报(自然科学版),2007,35(9):22-24.
作者姓名:余晓江  胡学军  胡于进  王学林
作者单位:1. 北京理工大学,机械与车辆工程学院,北京,100081
2. 华中科技大学,机械科学与工程学院,湖北,武汉,430074
3. 华中科技大学,机械科学与工程学院,湖北,武汉,430074;北方车辆研究所,车辆传动国家重点实验室,北京,100072
摘    要:为了实现汽车行驶过程中与前车车距的自动控制,提出了一种基于模糊神经网络的车辆纵向间距智能自适应控制方法.利用神经网络对车辆纵向运动进行辨识,将神经网络和模糊控制结合起来,设计模糊神经网络加速度控制器,利用神经网络的学习功能修正控制器的隶属度函数的参数和控制规则.仿真表明系统响应快,控制精度高,和传统方法相比具有较强的抗干扰能力和自适应性.

关 键 词:汽车纵向动力学  车距控制  模糊神经网络  自适应控制  基于模糊  神经网络  车辆间距  智能  适应控制  neural  networks  vehicles  running  longitudinal  adaptive  control  适应性  抗干扰能力  控制方法  控制精度  系统响应  仿真  控制规则  参数  隶属度函数  加速度控制器
文章编号:1671-4512(2007)09-0022-03
修稿时间:2006-12-12

Intelligent adaptive control of the longitudinal distances between running vehicles by neural networks
Yu Xiaojiang,Hu Xuejun,Hu Yujin,Wang Xuelin.Intelligent adaptive control of the longitudinal distances between running vehicles by neural networks[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(9):22-24.
Authors:Yu Xiaojiang  Hu Xuejun  Hu Yujin  Wang Xuelin
Institution:1 School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China; 2 College of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 3 State Key Lab of Vehicle Transmission, Northern Vehicle Institute, Beijing 100072, China
Abstract:Combined fuzzy control with neural network,based on the control model for the longitudinal relative distances between running vehicle and vehicle,a fuzzy neural network acceleration controller was designed.An identification model for the vehicle longitudinal movement was built through neural network.By using the learning function of the neural network,the membership functions and the inference rules in the controller were modified so that the adaptability of the controller is further enhanced.Simulation results show the system is robust and capable of anti-interference.
Keywords:vehicles longitudinal dynamic  spacing control  fuzzy neural network  adaptive control
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