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.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

A Study on Concurrency Control Scheme for Scalability of Blockchain

2020 ◽  
Vol 20 (3) ◽  
pp. 71-78
Author(s):  
Yong-Hyeog Kang ◽  
◽  
Wonhyung Park
Keyword(s):  
Concurrency Control ◽  
Control Scheme

An Efficient Congestion Control Scheme for Data Using Tokens in Network

2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh
Keyword(s):  
Congestion Control ◽  
Control Scheme
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