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Hamiltonian direct differentiation and adjoint approaches for multibody system sensitivity analysis
Authors:
- Paweł Maciąg,
- Paweł Malczyk,
- Janusz Frączek
- Record ID
- WUT75c826454c3a479ab8f7f0bb84fbf4c1
- Author
- Journal series
- International Journal for Numerical Methods in Engineering, ISSN 0029-5981, e-ISSN 1097-0207
- Issue year
- 2020
- Keywords in original language
- Adjoint method, direct differentiation method, optimization, multibody dynamics, optimal control
- ASJC Classification
- ; ;
- Abstract in original language
- The design of multibody systems involves high fidelity and reliable techniques and formulations that should help the analyst to make reasonable decisions. Given that constrained equations of motion for the simplest of multibody systems are highly nonlinear, determining the sensitivity terms is a computationally intensive and complex process that requires the application of special procedures. In this paper, two novel Hamiltonian-based approaches are presented for efficient sensitivity analysis of general multibody systems. The developed direct differentiation and the adjoint methods are based on constrained Hamilton’s canonical equations of motion. This formulation provides solutions, which are more stable as compared to the results of direct integration of equations of motion expressed in terms of accelerations due to a reduced differential index of the underlying system of differential-algebraic equations and explicit constraint imposition at the velocity level. The proposed Hamiltonian based methods are both capable of calculating the sensitivity derivatives and keeping the growth of constraint violation errors at a reasonable rate. The Hamiltonian-based procedures derived herein appear to be good alternatives to existing methods for sensitivity analysis of general multibody systems.
- DOI
- DOI:10.1002/nme.6512 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 200
- Score source
- journalList
- Score
- = 200.0, 09-05-2022, ArticleFromJournal
- Publication indicators
- = 1; = 1; = 1; : 2018 = 1.565; : 2020 (2 years) = 3.477 - 2020 (5 years) =3.593
- Citation count
- 1
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUT75c826454c3a479ab8f7f0bb84fbf4c1/
- URN
urn:pw-repo:WUT75c826454c3a479ab8f7f0bb84fbf4c1
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.