| 基于RBF神经网络的汽车ABS滑模控制器的设计 |
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| 引用本文： | 毛艳娥,井元伟,曹一鹏,张嗣瀛.基于RBF神经网络的汽车ABS滑模控制器的设计[J].东北大学学报(自然科学版),2009,30(3):309-312. |
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| 作者姓名： | 毛艳娥 井元伟 曹一鹏 张嗣瀛 |
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| 作者单位： | 1. 东北大学信息科学与工程学院,辽宁沈阳,110004
2. 沈阳航空工业学院计算机学院,辽宁沈阳,110136 |
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| 基金项目： | 国家自然科学基金，辽宁省博士科研启动基金 |
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| 摘 要： | 针对汽车防抱死制动系统(ABS)在快速性及鲁棒控制方面的要求,采用基于径向基函数神经网络的方法设计了汽车ABS的滑模控制器.该方法能够削弱常规滑模控制所引起的抖动现象,也能提高单纯的神经网络自适应控制的鲁棒性能.利用MATLAB中的SIMULINK仿真工具,对车辆在干路面条件下的制动情况进行了仿真研究,验证了所设计的控制方案在汽车ABS应用中的可行性和有效性.
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| 关 键 词： | 防抱死制动系统 径向基函数神经网络 滑模控制 抖振 鲁棒性 |
Slip Controller Based on RBF Neural Network for Automotive ABS |
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| MAO Yan-e,JING Yuan-wei,CAO Yi-peng,ZHANG Si-ying.Slip Controller Based on RBF Neural Network for Automotive ABS[J].Journal of Northeastern University(Natural Science),2009,30(3):309-312. |
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| Authors: | MAO Yan-e JING Yuan-wei CAO Yi-peng ZHANG Si-ying |
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| Institution: | MAO Yan-e1,JING Yuan-wei1,CAO Yi-peng2,ZHANG Si-ying1(1.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China,2.School of Computer Science,Shenyang Institute of Aeronautical Engineering,Shenyang 110136,China.) |
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| Abstract: | The slip controller based on RBF neural network was designed for automotive anti-lock braking system(ABS) to meet the requirements that the braking process should be fast and robust and the chattering due to conventional slip control should be alleviated as possible.Moreover,the robustness of adaptive control system simply based on neural network can be improved to some extent if using the slip controller we designed.The simulation using the software MATLAB/SIMULINK was done to investigate vehicles' braking... |
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| Keywords: | ABS(anti-lock braking system) RBF(radial basic function) neural network slip controller chattering robustness |
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