Another Multibody Dynamics in Natural Coordinates through Automatic Differentiation and High-Index DAE Solving

The Natural Coordinates (NCs) method for Lagrangian modelling and simulation of multi-body systems is valued for giving simple, sparse models. We describe our version of it (NPNCs) and compare with the classical ap- proach of Jalón and Bayo (JBNCs). NPNCs use the high-index differential- algebraic e...

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Veröffentlicht in:Acta cybernetica (Szeged) 2020-04, Vol.24 (3), p.315-341
Hauptverfasser: Pryce, John D, Nedialkov, Nedialko
Format: Artikel
Sprache:eng
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Zusammenfassung:The Natural Coordinates (NCs) method for Lagrangian modelling and simulation of multi-body systems is valued for giving simple, sparse models. We describe our version of it (NPNCs) and compare with the classical ap- proach of Jalón and Bayo (JBNCs). NPNCs use the high-index differential- algebraic equation solver DAETS. Algorithmic differentiation, not symbolic algebra, forms the equations of motion from the Lagrangian. NPNCs give significantly smaller equation systems than JBNCs, at the cost of a non- constant mass matrix for fully 3D models—a minor downside in the DAETS context. A 2D and a 3D example are presented, with numerical results.
ISSN:0324-721X
2676-993X
DOI:10.14232/actacyb.24.3.2020.4