Experimental Model and Controller Validation for a Series Hybrid Unmanned Aerial Vehicle

Christopher T. Aksland, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution


An inherent modular and scalable design framework has made unmanned aerial vehicles (UAV's) popular for various applications across many industries. The hybridization of UAV's facilitates higher performing and more efficient aircraft but necessitates new control designs. At a vehicle level, most efforts thus far have focused on the modeling and development of novel controllers in simulation. However, validating these controllers on experimental hardware is necessary before testing these algorithms on expensive flight-ready hardware. This paper seeks to address this research gap by experimentally validating a system-level hybrid UAV model. Using the validated system model, a baseline and predictive controller are developed in simulation and experimentally validated using a series hybrid UAV powertrain testbed.

Original languageEnglish (US)
Title of host publication2020 American Control Conference, ACC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538682661
StatePublished - Jul 2020
Event2020 American Control Conference, ACC 2020 - Denver, United States
Duration: Jul 1 2020Jul 3 2020

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2020 American Control Conference, ACC 2020
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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