Application of Artificial Neural Network in Aircraft Sinking Speed Control
The sinking speed refers to the vertical speed of the center of gravity of the aircraft at the time of landing and grounding,which is directly related to the load of the aircraft landing device when grounding.In the landing test to assess the strength and rigidity of the aircraft landing gear,the national military standard has specific requirements for the sinking speed of the aircraft,but in actual operation,due to the interference of various external factors,it is difficult for pilots to use existing means to accurately control the aircraft to achieve the sinking speed required by the standard.Through reasonable analysis,several flight parameters affecting the descent speed of land-based aircraft are selected,and the measured flight data of these parameters are used as the input and output of MATLAB artificial neural network model,and good prediction results are obtained,and new ideas and methods for controlling the sinking speed of land-based aircraft are explored.
landing testaircraft sinking speedlanding flight control methodsartificial neural networks
国家科技期刊平台
NSTL
万方数据
