Rapid On Board Prototyping of Near-Optimal Spatial Trajectories for Pilot's Associate

Abstract

The paper deals with a concept, mathematical foundation and results of testing a prototype of onboard system providing an aid for pilot's control actions during more or less long-term maneuvers, such as takeoff/climbing, waypoint flight through the threat zones, surface-based and air target attack, descent and landing approach. The key issue of this system is to provide an algorithm allowing on-line prototyping of spatial trajectories for these maneuvers and visualisation of the reference trajectories to a pilot on 3-D flightpath display for further tracking. As an efficient tool for onboard optimization the, present paper considers different modifications of a direct method of calculus of variations, implemented to the tasks of flight dynamics first time by Prof. Taranenko in the early 60's. The paper contains a brief survey of the methods used so far by the other researches in the field, discloses main ideas of proposed approach, based on independent optimization of a trajectory and speed profile, shows how to assure a required convergence robustness. The paper is concluded with the reference to the semi-natural and flight test of the proposed system prototype, carried out in Russia in mid 90's in Zhukovskiy Air Force Engineering Academy and Gromov Flight-Test Institute.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADA579211

Entities

People

  • Oleg A. Yakimenko

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Value Problems
  • Calculus Of Variations
  • Control Systems
  • Convergence
  • Differential Equations
  • Dynamics
  • Employment
  • Equations
  • Flight
  • Maneuvers
  • Optimization
  • Product Prototyping
  • Prototypes
  • Simulations
  • Software Prototyping
  • Trajectories

Readers

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