| 前向神经网络快速学习算法在发动机模型辨识中的应用 |
| |
| 引用本文： | 王立峰,李正熙.前向神经网络快速学习算法在发动机模型辨识中的应用[J].航空动力学报,2003,18(5):705-708. |
| |
| 作者姓名： | 王立峰 李正熙 |
| |
| 作者单位： | 北方工业大学机电工程学院,北京100041 |
| |
| 摘 要： | 介绍一种采用前向神经网络辨识发动机非线性模型的快速学习方法,与现有同类方法相比,该方法采用矩阵的QR分解求解线性方程组,解决了维数过高的矩阵直接求逆带来的解失真问题,并把这种方法应用于航空发动机的非线性模型辨识。算例仿真验证了算法的可行性。
|
| 关 键 词： | 航空、航天推进系统 神经网络 学习算法 发动机模型 模型辩识 |
| 文章编号： | 1000-8055(2003)05-0705-04 |
| 收稿时间： | 2003/3/18 0:00:00 |
| 修稿时间： | 2003年3月18日 |
A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model |
| |
| WANG Li feng and LI Zheng xi.A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J].Journal of Aerospace Power,2003,18(5):705-708. |
| |
| Authors: | WANG Li feng and LI Zheng xi |
| |
| Institution: | North China University of Technology,Beijing 100041,China |
| |
| Abstract: | To build a precise model is a key technique to aeroengine adaptive control.A rapid learning algorithm of feedforward neural network for identification of aeroengine model is presented in the paper.By contrast with similar algorithms,the present approach employs the decomposition of Matrix QR to solve a set of linear equations.As a result,inversing of huge matrix inverse and fuzzy solutions can be avoided.The algorithm was applied to the aeroengine nonlinear model identification,and validated by the simulation results of the calculation samples. |
| |
| Keywords: | aerospace propulsion system neural networks learning algorithm engine model model identification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《航空动力学报》浏览原始摘要信息 |
| 点击此处可从《航空动力学报》下载免费的PDF全文 |
