Bio-Inspired Flexible Cellular Actuating Systems

Abstract

The objective of this ARO project is to lay the control-theoretic foundation of controlling a hyper-redundant robotic arm or flexible robotic actuators, often represented by a distributed parameter system or a partial differential equation. We establish a model-guided approach for fabrication and control of flexible 3-D cellular actuator structures based on Electro-Active Polymers (EAPs) or other flexible materials. A model-guided approach for control of flexible structures is epitomized by the PI s PDE boundary control framework applied to articulated structures. The combined theoretical and experimental modeling framework would enable the exploitation and optimization of different actuator designs to achieve desirable dynamic and material characteristics. As far as material characterization is concerned, we focused on: (i) multi-physics modeling of EAP under combined electric and mechanical loading and (ii) the role of geometric reinforcement and stiffeners on macroscopic response and force-stroke characteristics of an EAP-based actuator.

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Document Details

Document Type
Technical Report
Publication Date
Nov 21, 2013
Accession Number
ADA607045

Entities

People

  • Ashraf Bastawros
  • Soon-Jo Chung

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Autonomy
  • C4I
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Differential Equations
  • Engineering
  • Engineers
  • Equations
  • Flexible Structures
  • Fluid Dynamics
  • Jet Propulsion
  • Mechanical Engineering
  • Micro Air Vehicles
  • Military Research
  • Partial Differential Equations
  • Three Dimensional

Readers

  • Distributed Systems and Data Platform Development
  • Nanocomposite Materials Science
  • Robotics and Automation.

Technology Areas

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