航空科学技术2016，Vol.27Issue(5)：22-26,5.
基于NARMAX辨识航空发动机起动过程数学模型
ldentiifcation of Aero-engine Starting Process Mathematical Model Based on NARMAX
郭政波 1望佳 1尹文强 1姚尚宏 1苏三买2
作者信息
- 1. 中国飞行试验研究院 发动机所，陕西 西安 710089
- 2. 西北工业大学 动力与能源学院，陕西 西安 710072
- 折叠
摘要
Abstract
Developing a mathematical model with high accuracy is of great importance to the design and development of aero-engine. The aero-engine is a complex nonlinear system. Nonlinear Auto Regressive Moving Average model with exogenous input(NARMAX)is able to model any kinds of nonlinearities. As a result,the aero-engine starting process was simulated by a NARMAX model utilizing an improved orthogonal least squares with error reduction ratio algorithm. According to the experimental results,the developed NARMAX model has a better accuracy and faster regression than the least squares method for identifying the aero-engine starting process. Therefore,the NARMAX model can meet the accuracy and real-time requirements,and thus capture the engine performance effectively in real-time.关键词
航空发动机/辨识模型/NARMAX模型/ERR算法/起动过程Key words
aero-engine/identify model/NARMAX model/error reduction ratio algorithm/starting process分类
航空航天引用本文复制引用
郭政波,望佳,尹文强,姚尚宏,苏三买..基于NARMAX辨识航空发动机起动过程数学模型[J].航空科学技术,2016,27(5):22-26,5.
