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Generation of LPV and LFT-models for the COFCLUO nonlinear aircraft model

Hecker, Simon (2008) Generation of LPV and LFT-models for the COFCLUO nonlinear aircraft model. Workshop on Clearance of Flight Control Laws, 2008-09, Siena (Italien).

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We present a general approach to generate a linear parametric state-space model, which approximates a nonlinear sytem with high accuracy and is optimally suited for Linear Fractional Transformation (LFT)-based robust stability analysis and control design. As a starting point a set of linearized state space systems is generated describing the local behaviour of the nonlinear plant about the corresponding equilibrium points. These models are then approximated using multivariable polynomial fitting techniques in combination with global optimization, with the objective to find a linear parametric model, which allows the transformation into a Linear Fractional Representation (LFR) of least possible order. A gap metric constraint is included during the optimization in order to guarantee a specified accuracy of the transfer function of the linear parametric model. The effectiveness of the proposed method is demonstrated by the generation of highly accurate LFT-models covering large regions of the flight envelope of the COFCLUO nonlinear benchmark model.

Item URL in elib:https://elib.dlr.de/55583/
Document Type:Conference or Workshop Item (Speech)
Title:Generation of LPV and LFT-models for the COFCLUO nonlinear aircraft model
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:LFT, LFR,
Event Title:Workshop on Clearance of Flight Control Laws
Event Location:Siena (Italien)
Event Type:Other
Event Date:September 2008
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems & Cabin (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > System Dynamics and Control (former Control Design Engineering)
Deposited By: Klauer, Monika
Deposited On:14 Oct 2008
Last Modified:24 Apr 2024 19:19

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