Energy Optimal Guidance of UAS in Time-Varying 3-Dimensional Wind Environments

Abstract

Increasing the fuel efficiency of military aircraft provides a tactical advantage to the aircraft operator. Increases in fuel efficiency in turn increase an aircrafts time on station, allow higher payload capacity, expand operational range, and reduce operating costs. Since the performance increases from fuel-efficiency compound over time, high endurance aircraft, like intelligence, surveillance, and reconnaissance (ISR) unmanned aerial systems (UAS), are a particularly applicable class of aircraft for research. This paper presents an approach for accomplishing these fuel savings through the design of an energy-optimal trajectory planning algorithm. This is done by modeling the performance of a UAS and defining the power required to maintain flight as the cost function in three dimensions and time. The time and location-varying effects of air density and wind are included in this model. Then, using Pontryagin's Minimum Principle, the problem becomes a boundary value problem, which is then numerically solved, generating the energy-optimal trajectory. This results in an energy-optimal trajectory solution that utilizes favorable atmospheric effects like tailwinds and updrafts, and avoids detrimental atmospheric effects, like headwinds.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213535

Entities

People

  • Luke J. Lalumandier

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Boundary Value Problems
  • Collision Avoidance
  • Energy Efficiency
  • Energy Harvesting
  • Environment
  • Fuel Efficiency
  • Guidance
  • Information Systems
  • Military Aircraft
  • Motion Planning
  • Payload
  • Probabilistic Models
  • Propulsion Systems
  • Terrain Avoidance
  • Three Dimensional
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Aerospace Engineering.
  • Operations Research

Technology Areas

  • Autonomy
  • Autonomy - UAVs