" Safety and efficiency " is the eternal theme of the civil aviation industry.With the increase of aircraft service life,the performance of aircraft is declining.Accurate and effective cruise aircraft performance monitoring can not only increase the efficiency,but also improve the flight safety.In order to realize the cruise aircraft performance monitoring,it is necessary to develop the performance analysis software.The research mainly provides reliable and efficient data filtering algorithm for the development of domestic civil aircraft performance analysis software APM(aircraft performance monitoring)module.The main research work is as follows: 1.The linear interpolation filled in the vacancy value,the pauta criterion tested and eliminated the gross error value,and the Newton interpolation method corrected the gross error position data;2.Kalman filtering theory was used to denoise the data,and the denoising effects of Kalman filter(KF),unscented Kalman filter(UKF)and adaptive unscented Kalman filter(AUKF)were compared;3.The sliding time window algorithm was used to filter the stable cruise data,and the recursive algorithm was used to optimize the sliding time window algorithm to improve the efficiency of data filtering;4.GUI(graphical user interface)was used to design the cruise aircraft performance parameter screening system and verified the effectiveness of the algorithm.Using 79 data samples of domestic ARJ21 aircraft,the simulation results showed that reliable flight data can be obtained after data cleaning,the improved sliding time window algorithm can effectively improve the efficiency of data screening,and the cruise aircraft performance monitoring system verified that the data screening algorithm proposed in this paper was feasible,and the screening efficiency was high.The above research can provide a reliable and efficient data screening algorithm for the development of APM module of domestic civil aircraft performance analysis software,and lay a solid foundation for APM analysis and calculation. |