The development of a total system aircraft landing control scheme

1998 ◽  
Author(s):  
C. Papadopoulos
Keyword(s):  
Total System ◽  
Aircraft Landing ◽  
Control Scheme ◽  
Landing Control

Composite anti‐disturbance landing control scheme for recovery of carrier‐based UAVs

2021 ◽  
Author(s):  
Jianwei Xu ◽  
Kunpeng Zhang ◽  
Dafa Zhang ◽  
Shiling Wang ◽  
Qian Zhu ◽  
...  
Keyword(s):  
Control Scheme ◽  
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.

scholarly journals Adaptive fuzzy direct lift control of aircraft carrier-based landing

2021 ◽  
Vol 39 (2) ◽  
pp. 359-366
Author(s):  
Xiaoyun Sun ◽  
Ju Jiang ◽  
Ziyang Zhen ◽  
Ruonan Wei
Keyword(s):  
Flight Control ◽  
Control Method ◽  
Adaptive Fuzzy Control ◽  
Actual State ◽  
Aircraft Carrier ◽  
Landing Point ◽  
Adaptive Fuzzy ◽  
Control Scheme ◽  
Lift Control ◽  
Landing Control

Considering the precise landing demand for carrier-based aircraft flight control, this paper proposes an adaptive fuzzy landing control method for the strong time-varying, parameter uncertainty and various complex coupling in the actual state aircraft model. This method is applied to the flap channel to achieve direct lift control, and the fuzzy system is utilized to approximate the six-degree-of-freedom nonlinear system model of a carrier aircraft that is difficult to accurately describe, to achieve accurate tracking of the landing glideslope, and improve the landing accuracy. Lyapunov method was used to judge the stability of the adaptive fuzzy control algorithm. During the simulation, the airwake and deck motion disturbance were introduced to simulate the landing environment of the aircraft. The effectiveness of the landing control system was verified by the Matlab software. Monte-Carlo random test was utilized to carry out the landing point accuracy for the conventional control scheme and the adaptive fuzzy direct lift control scheme respectively. Through the response curve and landing point statistical results, it is confirmed that the direct lift control scheme has better control effect, and the landing precision has improvement compared with the conventional control scheme.

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

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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