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汽车电动助力转向系统的神经网络变结构控制
引用本文:刘显贵,张兴旺.汽车电动助力转向系统的神经网络变结构控制[J].农机化研究,2007(9):206-209,216.
作者姓名:刘显贵  张兴旺
作者单位:南昌工程学院,南昌,330099
摘    要:为了得到更好的助力特性,在对汽车电动助力转向系统的结构及其动力特性进行分析的基础上,建立了数学模型,设计一种与神经网络相结合新的变结构控制器并进行大量仿真实验.结果表明:与传统的离散变结构控制器相比,所提控制方法是正确有效的,能够有效地消除抖振和减少系统本身不确定性对控制性能的影响,增强了系统的鲁棒性.

关 键 词:车辆工程  电动助力转向  理论研究  变结构控制  神经网络控制  汽车  电动助力转向系统  神经网络  变结构控制  System  Electric  Power  Steering  Variable  Structure  Control  Discrete  Network  鲁棒性  增强  影响  控制性能  不确定性  抖振  控制方法  离散变结构  结果  仿真实验  控制器
文章编号:1003-188X(2007)09-0206-04
收稿时间:2006-12-08
修稿时间:2006-12-08

Neural Network Discrete Variable Structure Control of an Electric Power Steering System
LIU Xian-gui,ZHANG Xing-wang.Neural Network Discrete Variable Structure Control of an Electric Power Steering System[J].Journal of Agricultural Mechanization Research,2007(9):206-209,216.
Authors:LIU Xian-gui  ZHANG Xing-wang
Institution:Nanchang Institute of Technology, Nanchang 330099, China
Abstract:In order to gain better steering performance, in this paper firstly the mathematical model of automobile Electrical Power Steering System is established after analyzing its structure and dynamical characteristics, then a new integral optimal variable structure mode controller based on neural network is designed lastly the comparison is drawn with Simulation results. It is show that the control method is correct and effective and it can eliminate system chattering and the influence of uncertainties of the system and enhance system robustness.
Keywords:automobile engineering  electric power steering  theoretical research  variable structure control  neural network control
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