A Behavior Oriented Control System for Machining

Abstract

This paper describes a new approach for controlling an intelligent machining workstation. The control system is built in behavior achieving layers, which allows a machine tool to operate at increasing levels of competence. Each layer focusses on a specific simple control task for machining processes. Qualitative reasoning is used to augment the system at the highest layer, giving the system the ability to foresee patterns of behavior that lead to failure. We discuss how qualitative models can be selected, setup and used to adjust control parameters.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1991
Accession Number
ADA237260

Entities

People

  • David A. Bourne
  • Yuan Qu

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Collisions
  • Composite Materials
  • Computer Science
  • Control Systems
  • Expert Systems
  • Geometry
  • Loops
  • Machine Tools
  • Machines
  • Machining
  • Manufacturing
  • Reasoning
  • Simulations
  • Tools

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).