DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS

Cui Dingjun; Yang Erfu; Zhang Zhengpeng; Liu Guoqiu

Chinese

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DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS

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- DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS
- Vol. 10, Issue 3, (1995)
- 作者机构：
  
  北京航空航天大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1995
- 稿件说明：
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Cui Dingjun, Yang Erfu, Zhang Zhengpeng, et al. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. 1995, 10(3).
DOI：

Cui Dingjun, Yang Erfu, Zhang Zhengpeng, et al. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. 1995, 10(3). DOI：

摘要

简要介绍了神经网络的基本理论

分析了神经网络与非线性建模问题。基于对液体火箭发动机动态过程的研究

提出了用神经网络建模的一般思路和基本方法

从而为发动机参数研究找到了新的建模途径。建模结果表明

将神经网络应用于液体火箭发动机动态过程的研究是十分成功的。

Abstract

According to principles of neural networks and BP algorithm

the relationship between the neural networks and nonlinear modelling is anlyzed.A general idea and a basic method for modelling with neural networks are put forward on the basis of the study of dynamic process in liquid rocket engine was formulated.Then a new modelling approach to researching the parameters of the engine was formulated.An example given in this paper shows that the application of the neural networks to the investigation of the dynamic process in the liquid rocket engine is a great success.

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采用BP网络辨识航空发动机数学模型

基于神经网络代理模型的卡箍非线性参数辨识方法

General simulation on modularization of liquid rocket engine

Reliability compliance test plans for liquid-propellant rocket engine based on weighting factors

Support vector machine complex method for multi-dimensional sensor calibration

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Related Institution

南京航空航天大学能源与动力学院

中国航发沈阳发动机研究所

School of Astronautics, Beijing University of Aeronautics and Astronautics

School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics

Beijing Institute of Astronautical Systems Engineering, China Academy of Launch Vehicle Technology

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