| 基于自定义神经网络的EPS助力特性研究 |
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| 引用本文： | 陈国迎,陈翀.基于自定义神经网络的EPS助力特性研究[J].拖拉机与农用运输车,2009,36(5):17-18,20. |
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| 作者姓名： | 陈国迎 陈翀 |
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| 作者单位： | 西华大学,交通与汽车工程学院,成都,610039 |
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| 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。
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| 关 键 词： | 电动助力转向系统 助力特性 MATLAB 自定义神经网络 |
Study of Assist Characteristic of EPS Based on Self-defined Neural Network |
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| Abstract: | 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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| Keywords: | MATLAB |
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