摘要
采用自寻优求解法建立小偏差状态变量模型(SVM),即先任意给定A,B,C,D矩阵,然后根据发动机非线性模型与状态变量模型的小偏差动态响应对比直接寻优A,B,C,D矩阵.求解目的为使状态变量模型与非线性模型的小偏差动态响应吻合,因而应用该方法可以保证所建模型具有较高的精度.此外该方法不受模型阶次的限制.应用该方法建立了某型涡轴发动机的小偏差状态变量模型,通过与非线性模型仿真结果比较,验证了该方法的有效性和准确性,所建立的状态变量模型可用于航空发动机控制系统设计与故障诊断.
A self-optimized method was employed to establish the state space model （SVM）, that is, A,B,C,D matrices were given arbitrarily, then small perturbation response between nonlinear model and SVM was compared to seek the exact A,B,C,D matrices directly. This method aims at inosculating the response between nonlinear model and SVM, so high precision could be guaranteed. This method is not limited by the order of model. One small perturbation SVM of a certain turboshaft engine model has been established by this method, and the simulation result between SVM and nonlinear model was also compared, proving the validity and accuracy. Also, the SVM could be applied to fault diagnosis and control system design for aero engines.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2008年第12期2314-2320,共7页
Journal of Aerospace Power
