基于SVD卡尔曼滤波器的航空发动机参数估计 |
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引用本文: | 蒋陵平.基于SVD卡尔曼滤波器的航空发动机参数估计[J].中国民航学院学报,2010(6):14-17,25. |
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作者姓名: | 蒋陵平 |
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作者单位: | 中国民用航空飞行学院,四川广汉618307 |
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摘 要: | 航空发动机推力估计所需要的健康参数较多,而安装的传感器数量相对较少。为解决二者之间的矛盾.运用奇异值分解算法,设计了基于该算法的降维卡尔曼滤波器,对用少量传感器发动机的健康参数进行最优估计,进而重构发动机的推力。数字仿真结果验证了其在航空发动机中应用的可能性。
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关 键 词: | 航空 推进系统 发动机 卡尔曼滤波 |
Aero-Engine Parameters Estimation Based on SVD-Kalman Filter |
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Institution: | JIA NG Ling-ping ( Civil Aviation Flight University of China, Guanghan 618307, China) |
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Abstract: | Accurate thrust reconstruction depends on knowledge of health parameters, but there are usually too few sensors to be able to estimate their values. Based on Singular Value Decomposition(SVD), a new dimension reduction Kalman Filter (KF) is designed. In this new technique, aero-engine health parameters can be optimal estimated by a small amount of sensors, which enable the reconstruction of unmeasured aero-engine outputs, such as thrust. The simulation results indicate that the designed SVD-KF has good performance. |
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Keywords: | aviation propulsion system aero-engine Kalman Filter |
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