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Discrete adjoint method for variational integration of constrained ODEs and its application to optimal control of geometrically exact beam dynamics

Matthias Schubert, Rodrigo T. Sato Martín de Almagro, Karin Nachbagauer, Sina Ober‐Blöbaum, Sigrid Leyendecker

2023Multibody System Dynamics15 citationsDOIOpen Access PDF

Abstract

Abstract Direct methods for the simulation of optimal control problems apply a specific discretization to the dynamics of the problem, and the discrete adjoint method is suitable to calculate corresponding conditions to approximate an optimal solution. While the benefits of structure preserving or geometric methods have been known for decades, their exploration in the context of optimal control problems is a relatively recent field of research. In this work, the discrete adjoint method is derived for variational integrators yielding structure preserving approximations of the dynamics firstly in the ODE case and secondly for the case in which the dynamics is subject to holonomic constraints. The convergence rates are illustrated by numerical examples. Thirdly, the discrete adjoint method is applied to geometrically exact beam dynamics, represented by a holonomically constrained PDE.

Topics & Concepts

OdeDynamics (music)Beam (structure)MathematicsOptimal controlAdjoint equationApplied mathematicsControl (management)Mathematical optimizationControl theory (sociology)Computer sciencePartial differential equationMathematical analysisEngineeringPhysicsAcousticsArtificial intelligenceCivil engineeringNumerical methods for differential equationsComputational Fluid Dynamics and AerodynamicsAdvanced Numerical Methods in Computational Mathematics
Discrete adjoint method for variational integration of constrained ODEs and its application to optimal control of geometrically exact beam dynamics | Litcius