Dynamic System Identification and Modeling of a Rotary Wing UAV for Stability and Control Analysis.

Abstract

This thesis presents a method for the dynamic system identification and simulation model development of a small rotary wing UAV. Using aerodynamic parameterization and linear state-space modeling techniques, the Bergen Industrial UAV was modeled for computer simulation to analyze its inherent stability and control characteristics. The NPS designed JANRAD software was utilized to determine the stability and control derivatives used in the simulation model. The identification of the UAV dynamic model will aid in the development of closed-loop controllers capable of autonomous UAV control. The fidelity of the simulation model was verified by comparing the simulation responses with data collected from on-board sensors during test flight.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA349878

Entities

People

  • Matthew D. Mcewen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Computational Science
  • Computer Simulations
  • Control Surfaces
  • Control Systems
  • Dynamic Response
  • Global Positioning Systems
  • Helicopters
  • Horizontal Stabilizers
  • Inertial Measurement Units
  • Mathematical Models
  • Measurement
  • Rotary Wing Aircraft
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

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

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers