摘要
文中基于某型优势发动机的大量飞参数据,选取线性小偏差状态变量模型,采用线性辨识方法,首先得到某飞行包线区域质心点处的某状态下模型参数,然后应用飞行包线的划分方法和相关结论,将算法推广到全飞行区域。计算模型的输出与实际飞参数据的比较结果表明,建模步骤正确有效,且线性模型满足一定的精度要求。
Based on the large numbers of flight parameters of x preponderant aeroengine,selecting the linear small devia- tion state variable model,using linear recognition method,this paper obtains the model parameters in certain state of flight envelop region particle.By using of correlative conclusion and partition method of flight envelop,develops this a- rithmetic to whole flight envelop region.The comparison result of the output of computing model and the practical flight data indicates the model method is correct and effective,and linear model satisfies the precision demand.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第S2期365-369,共5页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
发动机
飞行包线
飞参数据
小偏差辨识模型
aeroengine
flight envelop
flight parameter
small deviation recognition model
