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 introduc...
Abstract: Autonomous control of UAVs has become a popular research topic in recent years. This paper...
ABSTRACT In the precision instrument approach and landing of an airplane where the uncertainty is ve...
A new pilot model consisting of neural networks and supervisory fuzzy logic control is proposed to r...
Considering the precise landing demand for carrier-based aircraft flight control, this paper propose...
International audienceWe consider the problem of the control of the flight path of a landing aircraf...
Many control problems are based on control objectives easily quantified and consequently realisable...
In this paper, an adaptable fuzzy control mechanism for an Unmanned Aerial Vehicle (UAV) to manipula...
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper...
To study the aircraft response to a fast pull-up manoeuvre, a short period approximation of the long...
This paper addresses the automatic carrier landing problem in the presence of deck motion, carrier a...
In the last years various approaches have been proposed for automatic landing. This thesis presents ...
Landing is one of the most dangerous tasks in all the operations on an aircraft carrier, and the lan...
In this paper, an intelligent automatic landing system using fuzzy neural networks and genetic algor...
An adaptive disturbance rejection algorithm is proposed for carrier landing system in the final-appr...
The longitudinal automatic carrier landing system (ACLS) control law is designed based on nonlinear ...
Abstract: Autonomous control of UAVs has become a popular research topic in recent years. This paper...
ABSTRACT In the precision instrument approach and landing of an airplane where the uncertainty is ve...
A new pilot model consisting of neural networks and supervisory fuzzy logic control is proposed to r...
Considering the precise landing demand for carrier-based aircraft flight control, this paper propose...
International audienceWe consider the problem of the control of the flight path of a landing aircraf...
Many control problems are based on control objectives easily quantified and consequently realisable...
In this paper, an adaptable fuzzy control mechanism for an Unmanned Aerial Vehicle (UAV) to manipula...
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper...
To study the aircraft response to a fast pull-up manoeuvre, a short period approximation of the long...
This paper addresses the automatic carrier landing problem in the presence of deck motion, carrier a...
In the last years various approaches have been proposed for automatic landing. This thesis presents ...
Landing is one of the most dangerous tasks in all the operations on an aircraft carrier, and the lan...
In this paper, an intelligent automatic landing system using fuzzy neural networks and genetic algor...
An adaptive disturbance rejection algorithm is proposed for carrier landing system in the final-appr...
The longitudinal automatic carrier landing system (ACLS) control law is designed based on nonlinear ...
Abstract: Autonomous control of UAVs has become a popular research topic in recent years. This paper...
ABSTRACT In the precision instrument approach and landing of an airplane where the uncertainty is ve...
A new pilot model consisting of neural networks and supervisory fuzzy logic control is proposed to r...