Experiments in Nonlinear Adaptive Control of Mechanical Linkage Systems,

Abstract

With the growing interest in robotics, the problem of controlling mechanical linkage systems, such as manipulators, has received considerable attention in the literature (1)-(6). This problem is difficult for a number of reasons. First, by applying either Newtonian or Lagrangian mechanics, it is easily shown that such linkages are characterized by nonlinear dynamics. Second, while positioning and control of the end point of the linkage in terms of room (or workspace) coordinate is the ultimate goal in robotics applications, motor control commands are most naturally specified in terms of controlling joint angles. Again the nonlinear transformation relating joint angle coordinates to end point room coordinates complicates the problem. In this report, we address the first problem--namely, control of the nonlinear dynamics relating joint angles to motor torques.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADP001077

Entities

People

  • H. Elliott
  • T. Depkovich

Organizations

  • Martin Marietta

Tags

DTIC Thesaurus Topics

  • Control
  • Control Theory
  • Dynamics
  • Literature
  • Manipulators
  • Mechanics
  • Michigan
  • Nonlinear Dynamics
  • Physics
  • Robotics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Robotics and Automation.
  • Theoretical Analysis.

Technology Areas

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