Optimal Control for Terminal Guidance of Autonomous Parafoils

Abstract

This paper deals with the development of guidance, navigation and control algorithms for a prototype of a miniature aerial delivery system capable of high-precision maneuvering and high touchdown accuracy. High accuracy enables use in precision troop resupply, sensor placement, urban warfare reconnaissance, and other similar operations. Specifically, this paper addresses the terminal phase, where uncertainties in winds cause most of the problems. The paper develops a six degree-of-freedom model to adequately address dynamics and kinematics of the prototype delivery system and then reduces it to a two degrees-of-freedom model to develop a model predictive control algorithm for reference trajectory tracking during all stages. Reference trajectories are developed in the inertial coordinate frame associated with the target. The reference trajectory during terminal guidance, just prior to impact, is especially important to the final accuracy of the system. This paper explores an approach for generating reference trajectories based on the inverse dynamics in the virtual domain. The method results in efficient solution of a two-point boundary-value problem onboard the aerial delivery system allowing the trajectory to be generated at a high rate, mitigating effects of the unknown winds. This paper provides derivation of the guidance and control algorithms and present analysis through simulation.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 2009
Accession Number
ADA517940

Entities

People

  • Nathan J. Slegers
  • Oleg A. Yakimenko

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aerial Delivery
  • Aeronautics
  • Aircrafts
  • Algorithms
  • Calculus Of Variations
  • Computational Science
  • Control Systems
  • Global Positioning Systems
  • Guidance
  • Model Predictive Control
  • Monte Carlo Method
  • Navigation
  • Parachutes
  • Parafoils
  • Simulations
  • Terminal Guidance

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Robotics and Automation.