Aircraft landing control in wind shear condition

2011 ◽  
Author(s):  
Chia-Lin Lee ◽  
Jih-Gau Juang
Keyword(s):  
Wind Shear ◽  
Aircraft Landing ◽  
Shear Condition ◽  
Landing Control

Wind Shear Encountered Landing Control Based on CMACs

2013 ◽  
Vol 284-287 ◽  
pp. 2351-2355 ◽  
Author(s):  
Jih Gau Juang ◽  
Chung Ju Cheng ◽  
Teng Chieh Yang
Keyword(s):  
Intelligent Control ◽  
Adaptive Learning ◽  
Wind Shear ◽  
Learning Rule ◽  
Lyapunov Theory ◽  
Intelligent Control System ◽  
Automatic Landing ◽  
Control Scheme ◽  
Shear Condition ◽  
Landing Control

This paper presents an intelligent control scheme that uses different cerebellar model articulation controllers (CMACs) in aircraft automatic landing control. The proposed intelligent control system can act as an experienced pilot and guide the aircraft landed safely in wind shear condition. Lyapunov theory is applied to obtain adaptive learning rule and stability analysis is also provided. Furthermore, the proposed controllers are implemented in a DSP. The simulations by MatLab are demonstrated.

A Hybrid Intelligent System for Wind Shear Encountered Aircraft Landing Control

2015 ◽  
Vol 764-765 ◽  
pp. 592-596
Author(s):  
Jih Gau Juang ◽  
Shuai Ting Yu
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Shear ◽  
Controller Design ◽  
Intelligent System ◽  
Sliding Mode ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Aircraft Landing ◽  
Automatic Landing ◽  
Hybrid Intelligent System

This paper presents sliding mode control (SMC) to aircraft automatic landing system (ALS), and uses genetic algorithm (GA), particle swarm optimization (PSO) and chaos particle swarm optimization (CPSO) to adjust controller parameters. When wind shear is encountered, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in wind shear condition. PID control and cerebella model articulation controller (CMAC) are applied to the controller design.

Application of generalised neural network for aircraft landing control system

2002 ◽  
Vol 6 (6) ◽  
pp. 441-448 ◽  
Author(s):  
D. K. Chaturvedi ◽  
R. Chauhan ◽  
P. K. Kalra
Keyword(s):  
Neural Network ◽  
Control System ◽  
Aircraft Landing ◽  
Landing Control

Predictive Controller for Aircraft Landing under Wind Shear

2014 ◽  
Vol 587-589 ◽  
pp. 2030-2035
Author(s):  
Zhen Xing Gao ◽  
Zheng Qiang Li
Keyword(s):  
Wind Shear ◽  
Sequential Optimization ◽  
Ring Vortex ◽  
Linear Quadratic ◽  
Aircraft Landing ◽  
Predictive Controller ◽  
On Line ◽  
Low Altitude ◽  
Flight Dynamics Model ◽  
Glide Slope

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.

Aircraft Landing Control Based on CMAC and GA Techniques

2008 ◽  
Vol 41 (2) ◽  
pp. 8576-8581
Author(s):  
Wen-Pin Lin ◽  
Jih-Gau Juang
Keyword(s):  
Aircraft Landing ◽  
Landing Control

Design of Carrier-Based Aircraft Landing Control Law Based on Direct Force

2021 ◽  
pp. 1153-1163
Author(s):  
Hongyuan Zhu ◽  
Xiaoxiong Liu ◽  
YueHang Zhang ◽  
Yu Li
Keyword(s):  
Control Law ◽  
Aircraft Landing ◽  
Landing Control
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