An Expert Network Process Control Application

Abstract

In this thesis, a computerized process control technique based on an artificial neural network (ANN) is presented. The process of concern is the wood dryer portion of an industrial retort used for the dehydration stage of wood waste pyrolysis in the making of charcoal. With the proposed control scheme, an ANN monitors the dryer system parameters, detects deviations from the norm, and applies corrective actions to counteract deviations should any occur. A standard backpropagation network structure is used to associate patterns of sensor readings with appropriate control responses that are based on process design specifications and operation heuristics. As heuristic programming is employed, the dryer controller is not unlike a typical knowledge base system, except that it is driven by an ANN rather than the more traditional rule base normally associated with expert system type applications

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA283163

Entities

People

  • Douglas M. Rodgers

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Panels
  • Control Systems
  • Differential Equations
  • Electrical Engineering
  • Expert Systems
  • Heat Energy
  • Mathematical Models
  • Neural Networks
  • Operating Systems
  • Simulators
  • Students

Readers

  • Control Systems Engineering.
  • Materials Science
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks