Spatial Dynamics of Deformable Multibody Systems with Variable Kinematic Structure

Abstract

A method of the spatial kinematic and dynamic analysis of deformable multibody systems subject to topology changes and impacts is presented. A pieced interval analysis scheme that accounts for the change in the spatial system topology due to the changes on the connectivity between bodies is developed. Deformable bodies in the system are discretized using the finite element method and accordingly a finite set of deformation modes is employed to characterize the system vibration. Even though there are infinitely many arrangements for deformable body axes, computational difficulties may be encountered due to the use of a limited number of deformation modes. Therefore, the deformable body references have to be carefully selected, and accordingly as the system topology changes, new bases for the configuration space to another, a set of spatial interface conditions or compatibility conditions that are formulated using a set of nonlinear algebraic equations are developed. The solution of these equations uniquely define the spatial configuration of the deformable multibody system after the change in the system kinematic structure. The techniques proposed in this research are applied to several technological system such as robotic manipulators and weapon systems. Keywords: Spatial kinematics; Dynamic analysis; Deformable multibody systems; Interval analysis scheme; Nonlinear algebraic equations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA214098

Entities

People

  • A. A. Shabana

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Mechanics
  • Dynamic Response
  • Dynamics
  • Elastic Waves
  • Engineering
  • Equations
  • Euler Equations
  • Geometry
  • Guarantees
  • Illinois
  • Mechanical Structure
  • Mechanics
  • Military Research
  • Nonlinear Algebraic Equations
  • Transient Response Analysis
  • Transitions
  • Vibration

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers