Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit
This paper presents the results of modeling, control system design and simulation verification of a hybrid-electric drive topology suitable for power flow control within unmanned aerial vehicles (UAVs). The hybrid power system is based on the internal combustion engine (ICE) driving a brushless DC (...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f0aad1e3bcc74818bfcd5047fef31639 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:f0aad1e3bcc74818bfcd5047fef31639 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:f0aad1e3bcc74818bfcd5047fef316392021-11-11T15:54:56ZModeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit10.3390/en142171251996-1073https://doaj.org/article/f0aad1e3bcc74818bfcd5047fef316392021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7125https://doaj.org/toc/1996-1073This paper presents the results of modeling, control system design and simulation verification of a hybrid-electric drive topology suitable for power flow control within unmanned aerial vehicles (UAVs). The hybrid power system is based on the internal combustion engine (ICE) driving a brushless DC (BLDC) generator supplying the common DC bus used for power distribution within the aircraft. The overall control system features proportional-integral-derivative (PID) feedback control of the ICE rotational speed using a Luenberger estimator for engine-generator set rotational speed estimation. The BLDC generator active rectifier voltage and current are controlled by proportional-integral (PI) feedback controllers, augmented by estimator-based feed-forward load compensators. The overall control system design has been based on damping optimum criterion, which yields straightforward analytical expressions for controller and estimator parameters. The robustness to key process parameters variations is investigated by means of root-locus methodology, and the effectiveness of the proposed hybrid power unit control system is verified by means of comprehensive computer simulations.Matija KrznarDanijel PavkovićMihael CipekJuraj BenićMDPI AGarticleunmanned aerial vehiclesengine-based hybrid power unitspeed estimation and controldirect-current bus controlTechnologyTENEnergies, Vol 14, Iss 7125, p 7125 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
unmanned aerial vehicles engine-based hybrid power unit speed estimation and control direct-current bus control Technology T |
spellingShingle |
unmanned aerial vehicles engine-based hybrid power unit speed estimation and control direct-current bus control Technology T Matija Krznar Danijel Pavković Mihael Cipek Juraj Benić Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
description |
This paper presents the results of modeling, control system design and simulation verification of a hybrid-electric drive topology suitable for power flow control within unmanned aerial vehicles (UAVs). The hybrid power system is based on the internal combustion engine (ICE) driving a brushless DC (BLDC) generator supplying the common DC bus used for power distribution within the aircraft. The overall control system features proportional-integral-derivative (PID) feedback control of the ICE rotational speed using a Luenberger estimator for engine-generator set rotational speed estimation. The BLDC generator active rectifier voltage and current are controlled by proportional-integral (PI) feedback controllers, augmented by estimator-based feed-forward load compensators. The overall control system design has been based on damping optimum criterion, which yields straightforward analytical expressions for controller and estimator parameters. The robustness to key process parameters variations is investigated by means of root-locus methodology, and the effectiveness of the proposed hybrid power unit control system is verified by means of comprehensive computer simulations. |
format |
article |
author |
Matija Krznar Danijel Pavković Mihael Cipek Juraj Benić |
author_facet |
Matija Krznar Danijel Pavković Mihael Cipek Juraj Benić |
author_sort |
Matija Krznar |
title |
Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
title_short |
Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
title_full |
Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
title_fullStr |
Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
title_full_unstemmed |
Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit |
title_sort |
modeling, controller design and simulation groundwork on multirotor unmanned aerial vehicle hybrid power unit |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f0aad1e3bcc74818bfcd5047fef31639 |
work_keys_str_mv |
AT matijakrznar modelingcontrollerdesignandsimulationgroundworkonmultirotorunmannedaerialvehiclehybridpowerunit AT danijelpavkovic modelingcontrollerdesignandsimulationgroundworkonmultirotorunmannedaerialvehiclehybridpowerunit AT mihaelcipek modelingcontrollerdesignandsimulationgroundworkonmultirotorunmannedaerialvehiclehybridpowerunit AT jurajbenic modelingcontrollerdesignandsimulationgroundworkonmultirotorunmannedaerialvehiclehybridpowerunit |
_version_ |
1718432892824059904 |