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| 基于模糊神经网络的气动参数拟合 | |
| 引用本文： | 李世玲,张富堂,李治,魏可惠.基于模糊神经网络的气动参数拟合[J].系统仿真学报,2001,13(4):488-490,520. |
| 作者姓名： | 李世玲 张富堂 李治 魏可惠 |
| 作者单位： | 1. 西南交通大学电气工程学院；中国工程物理研究院电子工程所 2. 中国工程物理研究院电子工程所, 3. 西南交通大学电气工程学院, |
| 摘 要： | 鉴于模糊神经网络可以充当万能逼近器，以任意精度逼近任何非线性函数，本文用模糊神经网络对气动参数进行高精度拟合。在飞行器轨迹计算中用拟合得到的计算公式计算气动参数，可大大节省计算机时和存贮单元，提高计算精度，仿真实验亦表明了这一方法的有效性和可行性，这在飞行器的轨迹计算中是值得采用和推广的方法。 |
| 关 键 词： | 模糊神经网络 气动参数拟合 非线性函数 飞行器 |
| 文章编号： | 1004-731(2001)04-488-03 |
Aerodynamic Parameter Fitting Basis on Fuzzy Neural Network |
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| LI Shi-ling,ZHANG Fu-tang,LI Zhi,WEI Ke-hui.Aerodynamic Parameter Fitting Basis on Fuzzy Neural Network[J].Journal of System Simulation,2001,13(4):488-490,520. | |
| Authors: | LI Shi-ling ZHANG Fu-tang LI Zhi WEI Ke-hui |
| Institution: | LI Shi-ling1,2,ZHANG Fu-tang2,LI Zhi1,WEI Ke-hui2 |
| Abstract: | It is approved that fuzzy neural network can be used as an universal approximator, it can approximate any nonlinear function at arbitrary precision. This paper uses it to make a high-precise fit of aerodynamic parameters. If the formula formed by fitting is used to calculate aircraft's flight trajectory, a great deal of storage unit and machine-time are saved. Precision can be improved in this way. It is a good method which is worthy of promoting and popularizing in calculating of aircraft's flight trajectory. The validity of this method has been demonstrated by a numerical simulation. |
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