Adaptive Control Methods for Mechanical Manipulators: A Comparative Study

Abstract

A new adaptive control law for mechanical manipulators that maintains uniformly good performance over a wide range of motions and payloads is developed. This control strategy combines properties from both the Model Reference Adaptive Control and the Self Tuning Regulator Theory and serves to extend the Adaptive Model Following Control approach into using a nonlinear reference model. The design procedure is simple resulting in an overall system which is globally stable and offers itself to microcomputer implementation. The effectiveness of the approach is demonstrated on several computer simulations which compares its performances against some of the commonly known adaptive control techniques. Also presented is a comparison of the computation complexity of different methods used in deriving the dynamic equations of motion of a mechanical manipulator as well as a survey of various robot control methodologies available in the literature today. (EG)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA219965

Entities

People

  • Hamadi Jamali

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Simulations
  • Computers
  • Control Systems
  • Differential Equations
  • Engineering
  • Equations
  • Equations Of Motion
  • Jet Propulsion
  • Nonlinear Dynamics
  • Notation
  • Robotics
  • Robots
  • Simulations

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

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