摘要
研究利用航空发动机的非线性响应, 辩识多个基准状态下线性模型的方法。将发动机的非线性动态模型描述为Volterra级数模型, 利用一种鲁棒的自适应辨识算法实现它的辩识, 将模型的高阶部分去掉, 就得到了发动机的小偏差脉冲响应函数模型, 然后可将其转化为其它形式的线性动态模型。利用某型涡扇发动机仿真对方法进行检验, 求出若干基准状态下的线性模型, 对比表明, 得到的线性模型比较准确。可实现利用飞参数据辨识发动机多状态的线性模型。
The dynamic process of aeroengine is nonlinear. The linear model cannot be identified from the response directly. So, the method was studied to identify the linear model in multimode based on nonlinear response. The nonlinear dynamic model of aeroengine was described as the Volterra series model. An adaptive arithmetic was carried out to identify the Volterra series model robustly. Cutting off the model's high rank, the linear pulse response model of engine would be built. Then it can be converted into other linear dynamic models. It was applied in a turbofan engine through the simulation. The linear models of some standard states were found. According to the contrast, it is evident that the model is accurate. It can be used to identify the linear model in multimode based on the actual flight data.
出处
《推进技术》
EI
CAS
CSCD
北大核心
2005年第2期155-157,共3页
Journal of Propulsion Technology
基金
青年自然科学基金资助 (60304004)。
