| 基于BP神经网络的飞行体姿态预测模型 |
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| 引用本文： | 孟松,张志杰,范锦彪,曹咏弘. 基于BP神经网络的飞行体姿态预测模型[J]. 弹箭与制导学报, 2008, 28(1): 138-139,142 |
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| 作者姓名： | 孟松 张志杰 范锦彪 曹咏弘 |
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| 作者单位： | 中北大学仪器科学与动态测试教育部重点实验室,太原,030051 |
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| 摘 要： | 针对建立精确的加速度传感器输出与飞行体姿态获取比较困难的问题，在研究了加速度传感器输出信号对飞行体姿态影响的基础上，建立了相应的BP神经网络模型。结合加速度传感器输出的具体数据，应用Matlab语言编写相关的计算程序，验证了模型的可行性。
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| 关 键 词： | BP模型 预测 Matlab 人工神经网络 飞行体 姿态 |
| 收稿时间： | 2007-02-02 |
| 修稿时间： | 2007-02-02 |
An BP ANN Forecast Model for Aerocraft Attitude |
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| MENG Song,ZHANG Zhijie,FAN Jinbiao,CAO Yonghong. An BP ANN Forecast Model for Aerocraft Attitude[J]. Journal of Projectiles Rockets Missiles and Guidance, 2008, 28(1): 138-139,142 |
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| Authors: | MENG Song ZHANG Zhijie FAN Jinbiao CAO Yonghong |
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| Abstract: | The information of accelerometer output play an important role in the testing of flyer attitude. Flyer attitude is influenced by many factors,but it is difficult to establish an accurate model on them. Based on the study of effect of the information of accelerometer output factors on the testing of flyer attitude, the forecast method is presented, and BP model of ANN and calculation are set up. The data from the information of accelerometer output are employed to forecast flyer attitude, and compiled the related programme by Matlab language, and the analysis result demonstrates the model is effective. |
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| Keywords: | BP model forecast, Matlab ANN flyer, attitude |
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