Linear Control Theory as Applied to Smart Structures

Abstract

This thesis investigates linear control theory as applied to smart structures. Specifically, the problem of active vibration damping in a flexible cantilever beam using piezo-electric ceramic crystals (PZT) as sensors and actuators is addressed. The problem of controlling linear time invariant systems subject to hard input constraints is considered. Some existing methods are reviewed and some new methods are presented. The subject of rapid prototyping and automatic system identification is addressed. Automatic system identification techniques are developed and combined with a commercially available rapid prototyping system to create a test bed which can be used to rapidly model and control existing plants. Closed loop control laws designed to actively damp vibrations in a flexible cantilever beam were tested in various laboratory experiments. The experiments are described, the design of the control laws is discussed, and the results of the experiments are presented. Finally, impact between a flexible robotic arm and a fixed sphere is addressed. A model for the impact forces is developed and compared with experimentally determined impact data. An open loop control law using a neural network is implemented to control the magnitude of the impact force.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA453250

Entities

People

  • George A. Kantor

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Automatic
  • Cantilever Beams
  • Control Theory
  • Identification
  • Information Operations
  • Neural Networks
  • Product Prototyping
  • Software Prototyping
  • Test Beds
  • Universities
  • Vibration

Readers

  • Control Systems Engineering.
  • Distributed Systems and Data Platform Development

Technology Areas

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