Adaptive Backstepping Flight Control for Modern Fighter Aircraft

Sonneveldt, L.

doi:10.5772/13839

Cited by 30 publications

(19 citation statements)

References 176 publications

(265 reference statements)

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“…It is based on the work carried out by [14] at NASA's Langley Research Centre and [16] and adapted for use in MATLAB/Simulink by [17]. The original model was modified to include the effects of wind using the method described by [7].…”

Section: B Aircraft Modelmentioning

confidence: 99%

Emergent Behavior of Multi-Vehicle Formations Using Extremum Seeking

Brodecki

Subbarao²,

Chu

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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Emergent behavior of a formation flight control system based on an advanced extremum seeking algorithm is investigated. The control system was implemented on a nonlinear high fidelity aircraft model and combined with a wake vortex model in order to accurately represent the aerodynamic coupling experienced by members of a formation. The desired echelon formation emerges consistently after the formation is initialized at random points using a Monte Carlo scheme without inter-vehicle communication and with minimal information about the other members of the formation. The exteremum seeking algorithm drives each member towards the sweet spot in order to minimize its fuel consumption.

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Section: B Aircraft Modelmentioning

confidence: 99%

Emergent Behavior of Multi-Vehicle Formations Using Extremum Seeking

Brodecki

Subbarao²,

Chu

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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“…When accurate knowledge of the system dynamics is not available, adaptive techniques are included to estimate the uncertain dynamics. For that reason, several flight control algorithms combine adaptation with other control tools such as backstepping [14,15], neural networks [16], and sliding mode control [17]. For instance, a backstepping design has been used in [15] for the purposes of stabilization and trajectory tracking of a small tiltrotor-based aircraft model.…”

Section: Introductionmentioning

confidence: 99%

Lyapunov‐based trajectory tracking controller for a fixed‐wing unmanned aerial vehicle in the presence of wind

Brezoescu

Lozano

Castillo

2014

Adaptive Control & Signal

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“…More recently, important research of backstepping technique for aircraft flight control is being done at Delft University of Technology, where Sonneveldt, L., (2010), proposed the design of a stability and control augmentation system for a modern fighter aircraft using a nonlinear adaptive backstepping method with handling qualities evaluation. Another important work was produced at Aeronautics Institute of Technology (ITA) Brazil by Morales A. et.…”

Section: Introductionmentioning

confidence: 99%

Aircraft control design with linear and non linear techniques: comparative aspects

Cerignoni¹,

Galisteu²,

Camillo³

et al. 2013

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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In this paper is detailed a linear LQR control technique, when applied the specific weighting algorithm. This is done as a preamble to the implementation of gain schedule technique, already established in the industry. Latter, the nonlinear backstepping technique is presented; its characteristics and design methodology are highlighted, looking its industrial implementation. Finally comparative aspects between both techniques are discussed, this is done taking into account the same controlled variable, the same reference input and the same control surface (i.e. actuator). Aspects such as the ease of designing, real-time implementation, the structure migration for different aircraft projects, certification and others are considered. The paper contains innovations aspects related to design of nonlinear technique and the comparison with gain scheduling looking its industrial application.

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Adaptive Backstepping Flight Control for Modern Fighter Aircraft

Cited by 30 publications

References 176 publications

Emergent Behavior of Multi-Vehicle Formations Using Extremum Seeking

Emergent Behavior of Multi-Vehicle Formations Using Extremum Seeking

Lyapunov‐based trajectory tracking controller for a fixed‐wing unmanned aerial vehicle in the presence of wind

Aircraft control design with linear and non linear techniques: comparative aspects

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