Analysis of the Dynamics and Control of a Two Degree of Freedom Robotic Manipulator Mounted on a Moving Base.

Abstract

Mounting robotic manipulators on moving bases offers the potential of greatly extending the manipulator applications. However, the motion of the base creates a number of problems in terms of the control of the manipulator. The base motion subjects the manipulator to large scale disturbances that can seriously degrade system performance. This thesis illustrates the problems associated with a moving base as it applies to a two degree of freedom manipulator. It is shown that conventional control techniques, such as PID control, cannot effectively compensate for the base accelerations in a typical application. It is also shown that more advanced control algorithms, including decoupling control, LQR control, and pole placement prove to be ineffective to varying degrees. The linear co ntroller that placement technique, is then applied to the complete nonlinear system in an attempt to investigate the influence of the base motion over the entire range of motion of the manipulator. Recommendations for possible solutions to the moving base, problem, along with recommendations for extensions of this work, are then made.

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Document Details

Document Type
Technical Report
Publication Date
Oct 18, 1985
Accession Number
ADA160672

Entities

People

  • R. Lynch

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Closed Loop Systems
  • Control Panels
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Equations
  • Equations Of Motion
  • Linear Systems
  • Mechanical Engineering
  • Nonlinear Systems
  • Open Loop Systems
  • Robotics
  • Simulations
  • Steady State
  • Transfer Functions

Readers

  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control