Time Varying Controller Design for Robot Manipulator Control.

Abstract

This report studies the design of time-varying controller for robot manipulator control. Piece-wise constant time-varying controller is shown to be capable of producing desired fast response without causing overshoot. Such response can not be achieved with time-invariant controller. Nonlinear feedback linearization method is used to transform nonlinear robot equation into decoupled sets of second-order linear equations so that time-varying controller can be designed. Stability of time-varying system and time-varying control based on learning algorithm are also presented. This report comprise of the following four parts: 1) Robot Manipulator Controller Design: It was demonstrated that time-varying controllers can produce more desirable performances than those of time-invariant ones; 2) Stability of Time-Varying System: An important observation was made regarding stability in the design of time-varying systems. Implications of magnitude of change, and rate of change of parameter variations on stability are noted; 3) Learning Controller Design: One particular time-varying controller design approach that is of most interest to robot control is the learning control method. This part presents some preliminary results on learning control theory; and 4) A collection of papers on work which are in part supported by this ONR contract.

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Document Details

Document Type
Technical Report
Publication Date
Aug 25, 1987
Accession Number
ADA188094

Entities

People

  • M. F. Chonika
  • M. Y. Wu
  • N. M. Arbouz

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Counter WMD
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automation
  • Closed Loop Systems
  • Computational Complexity
  • Computational Science
  • Computer Simulations
  • Computers
  • Control Systems
  • Differential Equations
  • Frequency Bands
  • Inverse Problems
  • Mathematical Models
  • Operations Research
  • Reasoning
  • Resonant Frequency
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

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