Low altitude wind shear detection using airport surveillance radars

1995 ◽  
Vol 10 (6) ◽  
pp. 3-9 ◽  
Author(s):  
M.E. Weber ◽  
M.L. Stone
Keyword(s):  
2011 ◽  
Vol 97-98 ◽  
pp. 794-797
Author(s):  
Zhen Xing Gao ◽  
Hong Bin Gu ◽  
Zheng Gao

Pilot should control the aircraft manually when encountering low altitude wind shear during takeoff and landing. For wind shear escape and flight safety research, an effective human pilot model together with wind shear and flight dynamics model should be built with high fidelity. A skill-based human pilot model was built which can describe pilots’ characteristics such as experiences, skills, emotions, reaction abilities, etc. A fuzzy controller was designed for lateral and longitudinal escape control in pilot model. Since single pilot could not represent a group of pilots’ control behavior, some of the model parameters were set to be stochastic, then the Monte Carlo method was adopted to obtain a numerical approximation of safety analysis results. With the probabilistic pilot model, escape strategies and safety analysis can be studied by simulation with high fidelity.


2000 ◽  
Author(s):  
Huang Zhongwen ◽  
Li Xiaoli ◽  
Deng Yong
Keyword(s):  

1984 ◽  
Vol 21 (10) ◽  
pp. 792-796
Author(s):  
Peter M. Kuhn ◽  
Richard L. Kurkowski
Keyword(s):  

2014 ◽  
Vol 587-589 ◽  
pp. 2030-2035
Author(s):  
Zhen Xing Gao ◽  
Zheng Qiang Li

Low altitude wind shear badly threatens aircrafts’ flight safety. Since flight states change rapidly during flying through wind shear, it is deficient to design an optimization controller by off-line analyse. A ring-vortex microburst wind shear model and B747 aircraft flight dynamics model were built. For glide slope tracking under wind shear, an off-line controller was designed by linear quadratic method. Furthermore, a model predictive controller with sequential optimization was designed. Simulation results show the on-line sequential optimization controller possess better tracking performance.


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