Co-simulation method for solver coupling with algebraic constraints incorporating relaxation techniques

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• 作者：Bernhard Schweizer ; Daixing Lu ; Pu Li
• 关键词：Co ; simulation ; Solver coupling ; Subcycling ; Implicit ; Semi ; implicit ; Algebraic constraints ; Stability ; Convergence ; Relaxation technique
• 刊名：Multibody System Dynamics
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：36
• 期：1
• 页码：1-36
• 全文大小：10,729 KB
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• 作者单位：Bernhard Schweizer (1)
  Daixing Lu (1)
  Pu Li (1)
  
  1. Department of Mechanical Engineering, Institute of Applied Dynamics, Technical University Darmstadt, Otto-Berndt-Strasse 2, 64287, Darmstadt, Germany
  
• 刊物类别：Engineering
• 刊物主题：Vibration, Dynamical Systems and Control
  Optimization
  Electronic and Computer Engineering
  Mechanical Engineering
  Automotive and Aerospace Engineering and Traffic
  
• 出版者：Springer Netherlands
• ISSN：1573-272X

文摘

Based on the stabilized index-2 formulation for multibody systems, a semi-implicit co-simulation approach for solver coupling with algebraic constraints has been presented by Schweizer and Lu (Multibody Syst. Dyn., 2014) for the case that constant approximation is used for extrapolating/interpolating the coupling variables. In the manuscript at hand, this method is generalized to the case that higher-order approximation is employed. Direct application of higher-order polynomials for extrapolating/interpolating the coupling variables fails. Using linear approximation polynomials, artificial oscillations in the Lagrange multipliers of the kinematical differential equations are observed. For quadratic and higher-order polynomials, the co-simulation becomes unstable. In this work, the key idea to obtain stable solutions without artificial oscillations is to apply a relaxation technique. A detailed stability and convergence analysis is presented in the paper for the case of higher-order approximation. In this context, the influence of the relaxation parameter on the stability and convergence behavior is investigated. Applicability and robustness of the stabilized index-2 co-simulation method incorporating higher-order approximation polynomials is demonstrated with different numerical examples. Using piecewise constant approximation polynomials for the coupling variables produces discontinuous accelerations and reaction forces in the subsystems at the macrotime points, which may entail problems for the subsystem integrator. With higher-order approximation polynomials, the coupling variables and in consequence the accelerations and reaction forces in the subsystems become continuous. Keywords Co-simulation Solver coupling Subcycling Implicit Semi-implicit Algebraic constraints Stability Convergence Relaxation technique