Synthesis of Reduced-Order Modeling, Global Sensitivity Analysis, and Uncertainty Quantification for Robust Control Design of Nonlinear Smart Composite Systems

Abstract

This program focused on the synthesis of physical and reduced-order model development, quantification of modeldiscrepancies, global sensitivity analysis (SA) and uncertainty quantification (UQ) to improve robust control designs forAFOSR applications utilizing advanced transductive materials. These actuators provide broadband drive capabilities, solidstate nature, and potential for miniaturization. However, these advantages come at the cost of hysteretic, rate-dependent,and nonlinear dynamics. We addressed this via model-based uncertainty analysis and robust control design and verifiedthese results for materials under consideration for present micro-air vehicles and energy-harvesting systems.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 2019
Accession Number
AD1103110

Entities

People

  • Ralph C. Smith

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Bayesian Inference
  • Composite Materials
  • Computational Science
  • Control Systems
  • Engineering
  • Intelligent Systems
  • Jet Propulsion
  • Materials
  • Materials Science
  • Mathematics
  • Micro Air Vehicles
  • Nonlinear Systems

Fields of Study

  • Physics

Readers

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  • Robotics and Automation.