| 基于非线性神经网络的摆式列车检测系统动态补偿方法研究 |
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| 引用本文： | 王雪梅,倪文波,李芾.基于非线性神经网络的摆式列车检测系统动态补偿方法研究[J].宇航计测技术,2004,24(4):54-57. |
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| 作者姓名： | 王雪梅 倪文波 李芾 |
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| 作者单位： | 1. 西南交通大学机械工程学院,成都,610031
2. 西南交通大学牵引动力国家重点实验室,成都,610031 |
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| 基金项目： | 铁道部科技研究开发计划项目 ( 99J45 -E)，教育部博士点基金项目 ( 2 0 0 2 0 613 0 16) |
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| 摘 要： | 针对零极点匹配动态补偿方法的不足 ,提出基于非线性神经网络的摆式列车检测系统动态补偿方法。根据陀螺平台实测超高数据 ,采用LM算法对所设计的非线性神经网络进行训练。仿真结果表明 ,所设计的神经网络动态补偿器能有效改善陀螺平台系统的动态特性 ,满足摆式列车倾摆控制实时性的要求。
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| 关 键 词： | 摆式列车 神经网络 动态补偿 单轴陀螺平台 |
| 文章编号： | 1000-7202(2004)04-0054-04 |
| 修稿时间： | 2003年12月15 |
Research on Dynamic Compensation Method of Tilting Train Measurement System Based on Non-Linear Neural Network |
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| WANG Xue-mei,NI Wen-bo,LI Fu.Research on Dynamic Compensation Method of Tilting Train Measurement System Based on Non-Linear Neural Network[J].Journal of Astronautic Metrology and Measurement,2004,24(4):54-57. |
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| Authors: | WANG Xue-mei NI Wen-bo LI Fu |
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| Institution: | WANG Xue-mei1 NI Wen-bo2 LI Fu2 |
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| Abstract: | In view of the disadvantages of zero-pole matching dynamic compensation method, the dynamic compensation method of tilting train measurement system based on non-linear neural network is put forward. According to the practical superelevation data measured with single-axis gyroscope platform, the designed non-linear neural network is trained with LM algorithm. Simulation shows that dynamic characters of single-axis gyroscope platform can be effectively compensated for with the designed non-linear neural network, meeting the needs of real time controlling of tilting train. |
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| Keywords: | Tilting train Neural network Dynamic compensation Single-axis gyroscope platform |
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