A Compliant Mechanism Synthesis Theory for Fostering Innovation of Micro Air Vehicles

Abstract

In this project, we have developed a compliant mechanism synthesis theory that incorporate a general framework for determining pseudo-rigid-body models, type synthesis algorithms (determining mechanism topology for a specific task) and kinetostatic analysis/synthesis. This theory has been implemented into computer codes with a graphical user interface. It has been applied to solve several structure design problems including design optimization of compliant transmission mechanism for flapping wing MAVs, a bistable buckling beam design and a robotic finger actuated using shape memory alloy actuators. For instance, we have developed a parameter optimization framework for determining the pseudo-rigid-body (PRB) model of cantilever beams. A novel concept of "PRB matrix" has been proposed to describe the general topology of an arbitrary PRB model. Based upon this synthesis theory, we have shown that compliant joints can significantly reduce the power consumption in flapping wing MAVs if they are designed to enhance the down stroke flapping motion.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2016
Accession Number
ADA631893

Entities

People

  • Haijun Su

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Actuators
  • Aircrafts
  • Algorithms
  • Birds
  • Cantilever Beams
  • Computer Programs
  • Computers
  • Energy Consumption
  • Finite Element Analysis
  • Graphical User Interface
  • Mechanics
  • Micro Air Vehicles
  • Modulus Of Elasticity
  • Topology
  • Topology Optimization
  • User Interface
  • Vehicles

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Structural Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control