A Flexible Wing Unmanned Aerial Research System

Imperatore, Biagio; Vecchione, Ludovico

doi:10.4271/2009-01-3127

Cited by 6 publications

(2 citation statements)

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“…In order to show the effectiveness of the proposed CA algorithm, some numerical analyses have been carried out using a 6DOF model of the flight test bed High Altitude Performance Demonstrator (HAPD), an unmanned vehicle of the High Attitude Long Endurance (HALE) category designed by Italian Aerospace Research Centre (Imperatore and Vecchione, 2009).…”

Section: Numerical Analysismentioning

confidence: 99%

Dynamic Control Allocation through Kalman Filtering

Morani

Nebula

Corraro

et al. 2019

American Journal of Engineering and Applied Sciences

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Control Allocation (CA) in aviation is the problem of distributing the commands among the available actuation means, in order to ensure the achievements of the moments requested by the flight control laws. CA plays a key role in fault-tolerant control systems since it gives robust performances and stability also in presence of faults to one or more aircraft actuators. In this study, a new algorithm is proposed for Control Allocation under both static and dynamic constraints. The proposed algorithm aims at overcoming the most common limitations of the existing algorithms, most of which do not account for actuator dynamics (i.e. they compute a control command that might not be compatible with aircraft performance limitations) and rely on iterative methods. The proposed approach does not need an iterative procedure because it rearranges the CA as a state observer problem in which observer states are the actual commands to actuators and observer measurements are the requested moments by the flight control laws. The observer is implemented through a Kalman Filter (KF), with the actuator dynamics as process model and the algebraic relationships between moments and commands as measurement model. The effectiveness of the proposed CA strategy has been shown through a numerical analysis. The numerical simulations showed that the control commands computed by Control Allocation algorithms guarantee moments that match the ones requested by the attitude control laws. This has been verified in nominal conditions (i.e. no actuator faults) but also in faulty ones, where one or more actuators are subject to malfunctioning and, furthermore, in simulations scenarios in which aggressive maneuvers led to the saturation of one or more control surfaces.

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Section: Numerical Analysismentioning

confidence: 99%

Dynamic Control Allocation through Kalman Filtering

Morani

Nebula

Corraro

et al. 2019

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The main objectives concerned the development and validation of advanced modeling methodologies for flexible aircraft, and aimed at providing the scientific community with a valuable testing platform supporting validation of flight technologies. In effort [168] a first look at the program is given in general terms. After a feasibility study of a HALE vehicle having a 80 m wingspan and able to flight 20 days at 30 Km altitude, a high-altitude performance demonstrator (HAPD) was conceptually designed.…”

Section: Studies Of a Hale Joined Wing At The Italian Aerospace Research Center (Cira)mentioning

confidence: 99%