Simulation of a Two Link Robot Manipulator with Elastic Members

Abstract

The elastic behavior of the components of a robot manipulator will tend to induce both static and dynamic errors between desired and actual trajectories and end-effector positions. Currently, most researchers consider joint compliance - as opposed to link displacements - to be the dominant source of these errors. This conclusion is based on the the fact that when compared to the yielding typically seen in gears, motor shafts, bearings, etc., the links appear almost perfectly rigid. However, current efforts to lighten robot manipulators and increase their operating speeds also tends to increase the significance of link elasticity. This study considers the dynamic effects of elastic link displacements in a two-link robot manipulator as simulated by a hierarchy of models. In all, five separate system models are developed. The last model, TFTFEL, allows both manipulator links to bend in a single plane and to twist. Therefore, the effects of bending-torsion vibrations in each link may be observed when the manipulator attempts motion with an inertially asymmetric payload grasped in its end-effector. This elasto-dynamic behavior is simulated, and results indicate a definite disturbance of the joint angle trajectories. The use of structural damping to eliminate these high frequency vibrations and increase the manipulator's accuracy is evaluated.

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Document Details

Document Type
Technical Report
Publication Date
May 06, 1988
Accession Number
ADA196014

Entities

People

  • John C. Hinds

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Case Studies
  • Center Of Gravity
  • Classification
  • Composite Materials
  • Computational Science
  • Control Systems
  • Differential Equations
  • Dynamic Response
  • Dynamics
  • Elastic Properties
  • Engineering
  • Equations
  • Equations Of Motion
  • Mechanical Engineering
  • Mechanics
  • Transient Response Analysis

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy