| 采用BP网络辨识航空发动机数学模型 |
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| 引用本文： | 刘小勇,樊思齐.采用BP网络辨识航空发动机数学模型[J].航空动力学报,1996,11(2):153-156. |
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| 作者姓名： | 刘小勇 樊思齐 |
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| 作者单位： | 西北工业大学 |
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| 摘 要： | 运用ＢＰ网络和实测数据作为学习样本，对某型航空发动机的数学模型进行了辨识研究。辨识模型输出的结果与实测数据比较误差较小。这种方法收敛速度快、精度高，结果表明用ＢＰ网络辨识方法能够得到比较精确的发动机数学模型。
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| 关 键 词： | 航空发动机 模型法 神经网络 非线性 辨识 |
| 收稿时间： | 5/1/1995 12:00:00 AM |
| 修稿时间： | 1995/10/1 0:00:00 |
AEROENGINE MODEL IDENTIFICATION WITH BACK-PROPAGATION NEURAL NETWORKS |
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| Liu Xiaoyong and Fan Siqi.AEROENGINE MODEL IDENTIFICATION WITH BACK-PROPAGATION NEURAL NETWORKS[J].Journal of Aerospace Power,1996,11(2):153-156. |
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| Authors: | Liu Xiaoyong and Fan Siqi |
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| Abstract: | Identification of aeroengine model is investigated with Back-Propagation neural networks,when the test data of an aeroengine are taken for learning samples of the networks.The various states of the aeroengine are identified.The investigation shows that the deviation of the network outputs from flight data is very small.The precision and convergence speed of the identification is quite high. |
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| Keywords: | Aircraft engines Modeling Neural networks Non-linear Identification |
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