Research on Aircraft Performance Monitoring Parameter Selection Based on Improved Window Algorithm

Abstract

The suitable aircraft performance monitoring(APM)parameters selection method can realize the efficient selection of domestic civil cruising APM parameters,which can provide the reliable data basis of aircraft performance analysis and calculation.The Sage-Husa noise estimator is introduced into unscented Kalman filter(UKF),and the adaptive unscented Kalman filter(AUKF)is constructed.AUKF is used to denoise the quick access recorder(QAR)data.The stable cruise parameter screening criteria are given,and the improved sliding time window algorithm is used to realize the stable cruise parameter selecting.The algorithm is verified by the sample data of the domestic ARJ21 aircraft.The results show that the adaptive unscented Kalman filter algorithm can improve the reliability of data,and the improved sliding time window algorithm can improve the selecting efficiency by about 50%.

Keywords

• aircraft performance monitoring
• qar data
• adaptive unscented kalman filter
• recursive algorithm
• sliding time window