| 基于改进反向传播算法的跨音速攻角补偿修正研究 |
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| 引用本文： | 孟博,李荣冰,刘建业,李睿佳. 基于改进反向传播算法的跨音速攻角补偿修正研究[J]. 系统工程与电子技术, 2010, 32(12): 2681-2685. DOI: 10.3969/j.issn.1001-506X.2010.12.38 |
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| 作者姓名： | 孟博 李荣冰 刘建业 李睿佳 |
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| 作者单位： | 南京航空航天大学导航研究中心， 江苏 南京210016 |
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| 基金项目： | 航空科学基金，航空科研基金资助课题 |
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| 摘 要： | 跨音速飞行时攻角传感器误差显著增大，严重影响飞机的正常飞行。针对飞机试飞与正式装备时攻角传感器采取不同配置的特点，以及传统反向传播(back-propagation, BP)算法的不足，基于改进BP算法中Levenberg Marquardt (LM)算法,设计了一种跨音速攻角补偿修正算法。利用某型飞机的实际试飞数据对基于LM算法的BP神经网络进行了训练与测试,结果表明，经BP神经网络补偿修正后的攻角能够基本消除跨音速段原始测量攻角的剧烈波动，并与真实攻角吻合效果好。
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| 关 键 词： | 跨音速攻角 BP神经网络 LM算法 补偿修正 |
Research on compensation-correction of transonic angle-of-attack based on improved back-propagation algorithm |
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| MENG Bo,LI Rong-bing,LIU Jian-ye,LI Rui-jia. Research on compensation-correction of transonic angle-of-attack based on improved back-propagation algorithm[J]. System Engineering and Electronics, 2010, 32(12): 2681-2685. DOI: 10.3969/j.issn.1001-506X.2010.12.38 |
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| Authors: | MENG Bo LI Rong-bing LIU Jian-ye LI Rui-jia |
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| Affiliation: | Navigation Research Center, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China |
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| Abstract: | In condition of transonic flight, the performance of the angle of attack (AOA) sensor declines remarkably which influences the normal flight seriously. Aiming at the different configurations of AOA sensors when the plane is in flight-test and in equipment and the shortage of tranditional back-propagation (BP) algorithm, an algorithm based on improved BP algorithm (Levenberg Marquardt algorithm, LM algorithm) is designed to compensate and correct the transonic AOA. The BP neural network based on LM algorithm has been trained and tested with actual flight data. The results show that the AOA, which is corrected by the BP neural network as compensation, could basically eliminate the violent fluctuations of the measured AOA in transonic phase. And its tendency coincides with the true AOA with a small error. |
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| Keywords: | transonic angle of attack (AOA) BP neural network LM algorithm compensation-correction |
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