Analytical Models and Control Design Approaches for a 6 DOF Motion Test Apparatus

Abstract

Wind tunnels play an indispensable role in the process of aircraft design, providing a test bed to produce valuable, accurate data that can be extrapolated to actual flight conditions. Historically, time-averaged data has made up the bulk of wind tunnel research, but modern flight design necessitates the use of dynamic wind tunnel testing to provide time-accurate data for high frequency motion. This research explores the use of a 6 degree of freedom (DOF) motion test apparatus (MTA) in the form of a robotic arm to allow models inside a subsonic wind tunnel to track prescribed trajectories to obtain time-accurate force and moment coeffixE;cients. Specifically, different control laws were designed, simulated, and integrated into a 2 DOF model representative of the elbow pitch and wrist pitch joints of the MTA system to decrease positional tracking error for a desired end-effector trajectory. Stability of the closed-loop systems was proven via Lyapunov analysis for all of the control laws, and the control laws proved to decrease tracking error during the trajectory case studies. An adaptive sliding mode control scheme was chosen as most suitable to simulate on the 6 DOF model due to the small tracking error as compared to the other control schemes and the availability of parameters of the actual MTA system when subject to the time-varying aerodynamics of the wind tunnel.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1074090

Entities

People

  • Kyra L. Schmidt

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircraft Design
  • Aircrafts
  • Autonomous Systems
  • Boundary Layer
  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programs
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Engineering
  • Graphical User Interface
  • Jet Propulsion
  • Measurement
  • Mechanics
  • Model Predictive Control
  • Operating Systems
  • Reliability
  • Subsonic Wind Tunnels
  • United States Government
  • Wind Tunnel Tests
  • Wind Tunnels

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Fluid Dynamics.
  • Robotics and Automation.

Technology Areas

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