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.
|Document Type:||Conference or Workshop Item (Speech)|
|Title:||Generation of LPV and LFT-models for the COFCLUO nonlinear aircraft model|
|Event Title:||Workshop on Clearance of Flight Control Laws|
|Event Location:||Siena (Italien)|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||Aircraft Research|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L AR - Aircraft Research|
|DLR - Research theme (Project):||L - Systems & Cabin|
|Institutes and Institutions:||Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)|
|Deposited By:||Monika Klauer|
|Deposited On:||14 Oct 2008|
|Last Modified:||27 Apr 2009 15:17|
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