测控技术2011，Vol.30Issue(1)：52-54,62,4.
航空发动机相似增益扩展卡尔曼滤波研究
Study on Aero-Engine Similarity Gain Extended Kalman Filter Algorithm
任新宇 1杨育武 2樊思齐1
作者信息
- 1. 西北工业大学,动力与能源学院,陕西,西安,710072
- 2. 中航工业,西安航空动力控制公司,陕西,西安,710077
- 折叠
摘要
Abstract
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.关键词
航空发动机/相似理论/卡尔曼滤波/增益矩阵Key words
areo-engine/ similarity principle/ Kalman filter/ gain matrix分类
航空航天引用本文复制引用
任新宇,杨育武,樊思齐..航空发动机相似增益扩展卡尔曼滤波研究[J].测控技术,2011,30(1):52-54,62,4.
