Abstract
The deck landing sinking velocity of carrier‐based aircraft is affected by carrier attitude, sea condition, aircraft performance, etc. Its impact analysis is a complex nonlinear problem, and there even is some contradictory phenomenon that when the approach velocity increases, the sinking velocity decreases under certain circumstances. Aiming at exploring the impact of the various related deck landing parameters on sinking velocity for carrier‐based aircraft in the actual environment, response surface method‐based improved Kriging algorithm (IK‐RSM) is proposed based on genetic algorithm and Kriging model. Based on the deck landing measured data of the F/A‐18A aircraft in the actual operating environment, the impact degree of the 15 deck landing parameters on the sinking velocity is explored, respectively, by using the partial correlation analysis of multivariate statistical theory and the IK‐RSM. It can be found that the 4 parameters are strongly correlated with the sinking velocity; that is, the aircraft glide angle and deck pitch angle are highly correlated with the sinking velocity; next, the approach velocity and the engaging velocity are moderately correlated with the sinking velocity. The 4 parameters above could be used to establish the impact analysis model of the sinking velocity. The genetic algorithm is applied to the correction coefficients optimization of the IK‐RSM’s kernel functions, and the IK‐RSM of the F/A‐18A aircraft sinking velocity is formed. Compared with the Kriging model and the empirical formula, the sinking velocity prediction accuracy indexes of IK‐RSM are the best; for example, the determination coefficient is 0.981, the mean relative error is 1.813%, and the maximum relative error is 6.771%. Furthermore, based on the sinking velocity IK‐RSM and the sensitivity analysis method proposed, we have explained the reason for the contradictory phenomenon that when the approach velocity increases, the sinking velocity decreases at some samples. It could provide certain technical support for the flight attitude control related to the sinking velocity during the actual flight of carrier‐based aircraft.
Highlights
Sinking velocity is defined as the component of the aircraft velocity in vertical direction in the deck landing process of the carrier-based aircraft, which is an important design parameter for the landing gear [1]. e sinking velocity is the indication of the impact degree in the aircraft landing, and the range of which will seriously influence the weight of the landing gear and airframe structure
Zhang et al [10] discussed the carrier-based aircraft landing laws that landed on the carrier by using the dynamics model of carrier-based aircraft landing gears that landed on moved deck
Due to the large number of parameters involved in the analysis and the high dimension, the traditional Kriging model is probable to fall into the local optimum in the process of solving the correction coefficient, which leads to some error between the prediction result and the measured value [16, 17]. erefore, it is necessary to find a suitable method to establish a mathematical model between various factors and the sinking velocity to study the influence degree of each factor. erefore, the goal of this paper is oriented to explore an analytical technique to study the sinking velocity of carrier-based aircraft, response surface methodbased improved Kriging algorithm (IK-RSM), which integrates genetic algorithm and Kriging model, for the impact analysis and sensitivity analysis of carrier-based aircraft sinking velocity
Summary
Received 16 March 2020; Revised 30 March 2020; Accepted 20 April 2020; Published 7 May 2020. Aiming at exploring the impact of the various related deck landing parameters on sinking velocity for carrier-based aircraft in the actual environment, response surface methodbased improved Kriging algorithm (IK-RSM) is proposed based on genetic algorithm and Kriging model. Based on the sinking velocity IK-RSM and the sensitivity analysis method proposed, we have explained the reason for the contradictory phenomenon that when the approach velocity increases, the sinking velocity decreases at some samples. It could provide certain technical support for the flight attitude control related to the sinking velocity during the actual flight of carrier-based aircraft
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