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Model predictive control for gust load alleviation
Publikationstyp
Conference Paper
Date Issued
2012
Sprache
English
Author(s)
Journal
Volume
45
Issue
17 PART 1
Start Page
27
End Page
32
Citation
4th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2012)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
ISBN
978-3-902823-07-6
For economical and ecological reasons aircraft are required to become more efficient by reducing fuel consumption and CO2 emissions. One way to achieve these objectives is to decrease the weight of the aircraft structure. The reduction is, however, limited by the structural requirement that the aircraft must be able to withstand the forces and stress induced by maneuvers, turbulence, and gusts. Reduction of the forces and stress, for example by suitable ight control schemes, allows lighter structures and thus more efficiency. In this paper we focus on the problem of alleviating gust loads at critical locations of the airframe. This is accomplished via a model predictive control approach that accounts for look ahead measurements of incoming gust disturbances via light detection and ranging (LIDAR) systems. Deecting control surfaces are used by the predictive controller to reduce the load effects caused by the disturbance, the aircraft rigid body, and the structural response. The proposed controller design takes actuator deection- and rate-limitations, the complex multiple- inputs multiple-outputs system structure, and the objective to reduce critical loads directly into account. Predictive control proved itself to be an effective control strategy for gust load alleviation. © 2012 IFAC.
Subjects
Aircraft
Gust load alleviation
LIDAR
Predictive control
DDC Class
004: Computer Sciences
621: Applied Physics