Model Development and Model-Based Control Design for Nonlinear Smart Composite Systems

Abstract

This program focused on the development of physics-based models, highly efficient numerical approximation techniques, parameter estimation algorithms, and model-based control techniques for shape memory alloys and polymers, electroactive polymers, magnetic actuators, and PZT-based actuators and sensors that provide unique transducer capabilities for Air Force applications. In the modeling and simulation component, energy and statistic-based techniques were used to characterize hysteresis, constitutive nonlinearities, and complex dynamics in a manner that facilitates device and control design. The emphasis in the control component focused on the development of robust linear and nonlinear algorithms that permit real-time implementation while achieving stringent stabilization and tracking specifications.

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Document Details

Document Type
Technical Report
Publication Date
Nov 22, 2011
Accession Number
ADA557746

Entities

People

  • Ralph C. Smith

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Air Force
  • Algorithms
  • Alloys
  • Applied Mathematics
  • Composite Materials
  • Control Systems
  • Differential Equations
  • Frequency
  • Materials
  • Mathematics
  • Microelectromechanical Systems
  • Shape Memory Alloys
  • Simulations
  • Standards
  • Students
  • Transducers

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Materials Science and Engineering.