Implementation of an Open-Loop Rule-Based Control Strategy for a Hybrid-Electric Propulsion System On a Small RPA

Abstract

Currently fielded electric-powered small remotely-piloted aircraft (RPA) lack endurance desired by warfighters, and internal combustion engine (ICE) RPAs generate undesirable acoustic and thermal signatures. Hybrid-electric (HE) propulsion systems would combine both electric power for endurance and ICE power for cruise and climb modes. Use of HE systems would eliminate undesirable signatures in addition to providing considerable fuel savings over time. Five components were used in this HE system: the ICE, electric motor (EM), electromagnetic clutch, battery pack, and a propeller. Control of such a system in a small RPA has never been attempted before. A rulebased controller was developed to manage this HE system in C code. This system and its various sensors were analyzed on a custom-built dynamometer test stand that was developed in conjunction with other students. LabView screens were developed to aid this testing and interface with the sensor suite. The controller's performance over 9 distinct operating modes, including 4 operational flying states, were validated to provide the most optimal operation of a HE-RPA system of about 13.6 kg (30.0 lbf).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA539258

Entities

People

  • Collin M. Greiser

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Electric Motors
  • Electric Power
  • Electric Propulsion
  • Engineers
  • Hybrid Electric Vehicles
  • Internal Combustion Engines
  • Propulsion Systems
  • Remotely Piloted Vehicles
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aerospace Engineering.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Electrical Engineering