摘要
航空发动机试验时,需对稳态采集数据采用合适的实时数字滤波方法来消除干扰。针对常用递推平均法、中位值法、中位值平均法、一阶滞后法等实时滤波方法,分析了它们数学原理,对比了它们在跟随性和抗干扰能力方面的优缺点。在此基础上,通过对滤波算法进行改进,设计出了中位值平均一阶滞后法。该方法在抗干扰性能和跟随性之间取得了更好的平衡,具有更优良的综合性能和更宽的普适性,更适合航空发动机试验时的稳态数据实时处理。
Appropriate real-time digital filtering method is needed for static data acquirement to eliminate interference during aeroengine test. The mathematical theories of some real-time filtering methods are analyzed contrapuntally,including recursive averaging,median value,median value average and first-order lag filtering,and the comparison on following and anti-interference of each method is also studied. Based on these researches,by improving filtering method,median mean first-order lag method is designed. This method achieves a better balance between anti-interference performance and follow-up performance,has better comprehensive performance and wider universality,and is more applicable to real-time data processing for static data acquirement of aeroengine test.
作者
徐斌
XU Bin(AFCC Hunan Aviation Powerplant Reearch Insiute,Zhuzhou 412002,China)
出处
《测控技术》
2020年第4期66-70,共5页
Measurement & Control Technology
