Nonlinear Optimal Control Techniques for Vibration Attentuation Using Magnetostrictive Actuators

Abstract

This paper addresses the development of a nonlinear control design for attenuating structural vibrations using magnetostrictive transducers operating in nonlinear and highly hysteretic operating regimes. We consider as a prototype a thin plate subjected to exogenous pressure waves and controlled via Terfenol- D transducers at the plate edges; however the methodology is sufficiently general to encompass a wide range of structures and magnetic transducer designs. Hysteresis inherent to the transducer materials is quantified using a homogenized energy framework and the resulting nonlinear constitutive relations are used to construct a PDE representation and corresponding finite dimensional mode of the structural system. We employ optimal control theory to construct nonlinear open loop control inputs which accommodate the hysteresis inherent to the transducers but are not robust with regard to unmodeled dynamics or disturbances. Robustness is incorporated by employing perturbation techniques to provide linear feedback laws acting on measured disturbances. As illustrated via numerical examples, the resulting hybrid control design provides excellent control authority and robustness for transducers operating in hysteretic and nonlinear regimes.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA444217

Entities

People

  • Ralph C. Smith
  • William S Oates

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Algorithms
  • Boundary Value Problems
  • Control Theory
  • Differential Equations
  • Domain Walls
  • Equations
  • Frequency
  • Magnetic Fields
  • Magnetic Materials
  • Magnetization
  • Magnets
  • Materials
  • Permanent Magnets
  • Rods
  • Time Intervals
  • Vibration

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Materials Science and Engineering.
  • Robotics and Automation.