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基于自定义神经网络的EPS助力特性研究

作  者:
陈国迎;陈翀
单  位:
西华大学交通与汽车工程学院
关键词:
电动助力转向系统;助力特性;MATLAB;自定义神经网络
摘  要:
对电动助力转向(EPS)系统的助力特性进行了分析,并利用搭建的自定义神经网络模型对助力特性曲线进行预描,在MATLAB中得到的仿真结果是一组非常理想的助力曲线。这表明该自定义网络能有效预测EPS的助力特性,同时也为后期的回正控制策略研究提供了思路。
译  名:
Study of Assist Characteristic of EPS Based on Self-defined Neural Network
作  者:
CHEN Guo-ying,CHEN Chong(School of Traffic and Automobile Engineering,Xihua University,Chengdu 610039,China)
关键词:
Electric power steering system;Assist characteristic;MATLAB;Self-defined neural network
摘  要:
This paper analyses the assist control strategy of electric power steering system.On the basis of the study,a three-layer self-defined neural network is constructed and trained to forecast the curve of assist characteristics.Through the simulation in MATLAB,the paper gets a set of smooth assist characteristic curves which we are trying to get.The ideal result shows that this self-defined neural network can effectively predict the assist characteristics of electric power-assisted steering system.At the same time,this new neural network model provides a good approach for the further study of return control strategy.

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