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。
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.
出处
《农机化研究》
北大核心
2007年第9期206-209,216,共5页
Journal of Agricultural Mechanization Research
基金
江苏省汽车重点实验室开放基金项目（QC200401）
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
automobile engineering
electric power steering
theoretical research
variable structure control
neural network control
