摘要
回顾了汽车助力转向系统的发展历程,并对电动助力转向(EPS)系统进行了分析。在总结前人研究方法的基础上,探索出一种基于径向基(RBF)神经网络的EPS助力特性研究,通过径向基神经网络的学习和训练,对理想的助力特性曲线进行了拟合和预测,得到了非常理想的新曲线。结果说明径向基神经网络在学习和预测方面的强大功能,以及应用此控制策略的有效性,对后续的研究、开发提供了一个很好的选择。
This paper reviews the development of power assist steering, and analyze electric power steering （EPS） system. On the basis of previous research methods, one new research technique that based on radial basis function （RBF） network is advanced. Through the learning and training of RBF network, the ideal EPS curves are drawn up and forecasted and nice curves are gotten. These results iUuminate that BRF network has strong function in drawing up and forecasting data, and show the validity of this control strategy. It Provides a good choice for later research and development of EPS.
出处
《汽车科技》
2007年第1期7-10,共4页
Auto Sci-Tech
基金
"985"二期项目资助(531105030002)
