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Minimal order disturbance estimator design for aircraft load alleviation control

Ossmann, Daniel and Poussot-Vassal, Charles (2018) Minimal order disturbance estimator design for aircraft load alleviation control. 2nd IEEE Conference on Control Technology and Applications, Copenhagen, Denmark.

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Abstract

In this paper a novel approach to design linear disturbance estimator is presented. The linear approach relies on the idea of directly decoupling everything but the disturbance input from the estimate by using advanced nullspace computation techniques. The main advantage of the approach is that disturbance estimators of minimal order, using available and numerically reliable tools, can be designed. The approach is applied to a generic model of a business jet aircraft. The derived disturbance estimate is used in a control algorithm to reduce the wing bending moments on the aircraft in case of wind gusts. Both, the disturbance estimator together with the load alleviation controller are verified in a non-linear closed loop aircraft simulation model.

Item URL in elib:https://elib.dlr.de/125926/
Document Type:Conference or Workshop Item (Speech)
Title:Minimal order disturbance estimator design for aircraft load alleviation control
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ossmann, DanielDaniel.Ossmann (at) dlr.deUNSPECIFIED
Poussot-Vassal, CharlesCharles.Poussot-Vassal (at) onera.frUNSPECIFIED
Date:September 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Flight Control; Disturbance Rejection; Load Estimation
Event Title:2nd IEEE Conference on Control Technology and Applications
Event Location:Copenhagen, Denmark
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Aircraft System Dynamics
Deposited By: Ossmann, Daniel
Deposited On:15 Jan 2019 09:35
Last Modified:31 Jul 2019 20:23

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