Volume 37, Number 2, April 2019
|Page(s)||218 - 224|
|Published online||05 August 2019|
Sinking Velocity Compact-Analysis of Carrier-Based Aircraft Based on Improved Kriging Model
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
2 School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
The sinking velocity of carrier-based aircraft is an important input for landing gear design, and has a great influence on the weight of the landing gear and airframe structure. Aiming at exploring the effect of the various related landing parameters on the sinking velocity for carrier-based aircraft at the actual service environment, and based on F/A-18A measured landing data, the correlation degree between 15 landing parameters and sinking velocity is analyzed by partial correlation analysis method in multivariate statistics. The results show that the aircraft instantaneous gliding angle and deck pitch angle are highly correlated with the sinking velocity, the approach velocity and the engaging velocity are moderately correlated with the sinking velocity. The above four parameters are used as the independent variables, an improved Kriging surrogate model for the sinking velocity of F/A-18A aircraft is established, and Genetic algorithm is used to optimize the undetermined coefficients of correlation functions. The complex correlation coefficient of the sinking velocity predicted by the proposed model is 0.981, the average relative error is 1.813% and the maximum relative error is 6.771%. And comparing the empirical formula with the ordinary Kriging model, the precision index is the best. The proposed model provides the best prediction results. The improved Kriging surrogate model and the results obtained in this paper can provide a basis for studying the sinking velocity and controlling landing attitude for similar models carrier-based aircraft.
Key words: carrier-based aircraft / sinking velocity / correlation analysis / genetic algorithm / Kriging model / compaction-analysis / multivariate statistics
关键字 : 舰载机 / 下沉速度 / 相关分析 / 遗传算法 / Kriging模型 / 影响性分析 / 多元统计
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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