Manuel Lanchares, Ilya Kolmanovsky, Carlos E.S. Cesnik, Fabio Vetrano

DOI Number: N/A

Conference number: IFASD-2019-095

Model order reduction techniques can be employed to reduce the complexity of high-order very flexible aircraft models, allowing their use for control design. In this paper, a technique based on a local-bases approach is introduced to reduce the original nonlinear problem. Firstly, a piecewise-linear surrogate model is obtained through the interpolation of linearized models. Then, the order of the surrogate model is reduced by projecting periodically its dynamics onto an affine subspace. These affine subspaces are computed by balanced truncation of linearized systems of the original model. Sample numerical results on a high-altitude longendurance aircraft show that the proposed technique generates accurate reduced order models with a reduction of 90% of the dimension of the system.

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In Categories: IFASD 2019, Reduced Order Models
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