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 |
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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. |
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ISSN: | 0324-721X 2676-993X |
DOI: | 10.14232/actacyb.24.3.2020.4 |