基于小波的主燃油控制通道动态奇异数据辩识  

A Study of Dynamic Singularity Data of EEC Main Fuel Control Passage Based on Wavelet Transform

作　　者：王文栋[1] 陈策[1] 张生良[2] 谢寿生[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038 [2]空军第一研究所,北京100076

出　　处：《空军工程大学学报（自然科学版）》2003年第6期20-22,共3页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：2110工程建设项目

摘　　要：应用小波异常检测理论和误差滤除理论,对奇异数据分解重构并得到奇异点的位置和大小,进而对其动态模型分段进行最小二乘辨识。结果表明,小波分析方法不需要过程误差的先验知识,能够同时完成奇异数据的检测及相应误差的滤除任务,完全适用于此类数据的分析过程。The dynamic model of a kind of Turbofan EEC ( Engine Electronic Controller ) main fuel passage belongs to nonlinear time - varying system, it is difficult to identify the model because of the singularity caused by disturbance of the diverse - structure response. Based on the theory of exception - checking and error - filtering of wavelet transform, the response data is analyzed and reformed, the singularity is obtained, and the characteristic of the dynamic model is identified by segment. The result shows that wavelet is applicable to the singularity identification, exception - checking and error - filtering without experienced knowledge of the procedure error.

关 键 词：电子综合调节器 小波分析 奇异点 最小二乘辨识 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程]