Publication | Open Access
A formulation of the linear discrete Coulomb friction problem via convex optimization
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Citations
42
References
2010
Year
Numerical AnalysisMathematical ProgrammingNew FormulationEngineeringMechanical EngineeringComputational MechanicsDiscrete OptimizationFriction ControlPde-constrained OptimizationFinite DimensionMechanicsDiscrete MathematicsCombinatorial OptimizationComputational GeometryApproximation TheoryLinear OptimizationContinuous OptimizationIntrinsic FormulationQuadratic ProgrammingConvex OptimizationMechanical SystemsLinear Programming
Abstract This paper presents a new formulation of the dynamical Coulomb friction problem in finite dimension with discretized time. The novelty of our approach is to capture and treat directly the friction model as a parametric quadratic optimization problem with second‐order cone constraints coupled with a fixed point equation. This intrinsic formulation allows a simple existence proof under reasonable assumptions, as well as a variety of solution algorithms. We study mechanical interpretations of these assumptions, showing in particular that they are actually necessary and sufficient for a basic example similar to the so‐called “paradox of Painlevé”. Finally, we present some implementations and experiments to illustrate the practical aspect of our work.
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