摘要
提出了一种用于估计航空发动机性能参数退化情况的基于相似增益的扩展卡尔曼滤波方法,滤波器由部件级非线性实时模型和卡尔曼滤波增益矩阵组成。增益矩阵在标准大气条件下设计,并通过相似理论将其扩展到全线。与常增益卡尔曼滤波算法相比,该方法具有更好的收敛性和滤波稳定性。系统仿真表明,该方法能够在当前的机载计算机上完成实时运算,仿真结果令人满意。
The extended Kalman filter method based on similarity gain to identify the state of deterioration of the engine components is proposed.The filter consists of a nonlinear component level model and a filter gain matrix K.Gain matrix K is a constant matrix design at sea-level static condition,and should be transformed to actual flight condition with similarity correction factors.The hardware is used in the loop simulation facility to test for the onboard model＇s real-time capability.Simulation results show the model completed all operations in an airborne computer real-time and the precision is satisfactory.
出处
《测控技术》
CSCD
北大核心
2011年第1期52-54,62,共4页
Measurement & Control Technology
