Loading…

Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control

As multirotor vehicles become integrated into the national airspace for applications such as package delivery and videography, it is important that the inner-loop control system be robust and able to meet ever-demanding performance constraints. To achieve high bandwidth control designs, it is necess...

Full description

Saved in:
Bibliographic Details
Published in:Journal of aircraft 2020-11, Vol.57 (6), p.1044-1061
Main Authors: Cunningham, Michael A, Hubbard, James E
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83
cites cdi_FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83
container_end_page 1061
container_issue 6
container_start_page 1044
container_title Journal of aircraft
container_volume 57
creator Cunningham, Michael A
Hubbard, James E
description As multirotor vehicles become integrated into the national airspace for applications such as package delivery and videography, it is important that the inner-loop control system be robust and able to meet ever-demanding performance constraints. To achieve high bandwidth control designs, it is necessary to have accurate and high bandwidth open-loop models. In this Paper, a linear state-space model of the open-loop dynamics of a hex-configuration multirotor vehicle was identified from flight tests conducted with an active feedback controller. The system identification methodology and initial model structure were formed and informed by an analytical model, which incorporated a propeller aerodynamics model derived using blade element theory. The methodology for identification of the open-loop model involved the combined application of manual pilot inputs and automated multisine inputs added to the output of the controller. The effectiveness of the model’s predictive capability was shown with a validation flight test with simultaneous excitation of the four input axes and an independent flight test for validation of the heave model. The final model structure, which incorporated axis-lumped first order dynamics to represent the propulsion system dynamics, was found to be generalizable to various traditional coplanar multirotor configurations.
doi_str_mv 10.2514/1.C035834
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2465817460</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2465817460</sourcerecordid><originalsourceid>FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83</originalsourceid><addsrcrecordid>eNpl0M1Kw0AUBeBBFKzVhW8wIAguUucnyUyXJVgtpHRTBFfD7eSGTo2ZOJkqvr2RFhRc3bv4OAcOIdecTUTG03s-KZjMtExPyIhnUiZS5_r0z39OLvp-xxjTTKkReVl12Cal9x0tXYsQ6NJX2NBFhW10tbMQnW-pryks9010wUcf6DNunW2Qfrq4pTMb3QfSOWK1AftKC9_G4JtLclZD0-PV8Y7Jev6wLp6ScvW4KGZlAoLrmEicipxbsLqaatww3EgxzWqteA25VMoyMUBUGlOdK2m1VFqAStGCGJgck5tDbBf8-x77aHZ-H9qh0Yg0zzRXac4GdXdQNvi-D1ibLrg3CF-GM_MznOHmONxgbw8WHMBv2n_4DSKFasY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2465817460</pqid></control><display><type>article</type><title>Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control</title><source>Alma/SFX Local Collection</source><creator>Cunningham, Michael A ; Hubbard, James E</creator><creatorcontrib>Cunningham, Michael A ; Hubbard, James E</creatorcontrib><description>As multirotor vehicles become integrated into the national airspace for applications such as package delivery and videography, it is important that the inner-loop control system be robust and able to meet ever-demanding performance constraints. To achieve high bandwidth control designs, it is necessary to have accurate and high bandwidth open-loop models. In this Paper, a linear state-space model of the open-loop dynamics of a hex-configuration multirotor vehicle was identified from flight tests conducted with an active feedback controller. The system identification methodology and initial model structure were formed and informed by an analytical model, which incorporated a propeller aerodynamics model derived using blade element theory. The methodology for identification of the open-loop model involved the combined application of manual pilot inputs and automated multisine inputs added to the output of the controller. The effectiveness of the model’s predictive capability was shown with a validation flight test with simultaneous excitation of the four input axes and an independent flight test for validation of the heave model. The final model structure, which incorporated axis-lumped first order dynamics to represent the propulsion system dynamics, was found to be generalizable to various traditional coplanar multirotor configurations.</description><identifier>ISSN: 1533-3868</identifier><identifier>ISSN: 0021-8669</identifier><identifier>EISSN: 1533-3868</identifier><identifier>DOI: 10.2514/1.C035834</identifier><language>eng</language><publisher>Virginia: American Institute of Aeronautics and Astronautics</publisher><subject>Active control ; Aerodynamics ; Aircraft ; Airspace ; Automatic pilots ; Aviation ; Bandwidths ; Blades ; Closed loop systems ; Configurations ; Control systems ; Control theory ; Controllers ; Design ; Feedback control ; Feedback control systems ; Flight tests ; Fluid dynamics ; Identification ; Open source software ; Parameter estimation ; Propulsion systems ; Robust control ; State space models ; System dynamics ; System identification ; Vehicles ; Videography</subject><ispartof>Journal of aircraft, 2020-11, Vol.57 (6), p.1044-1061</ispartof><rights>Copyright © 2020 by Cunningham, M. A. and Hubbard Jr., J. E. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at ; employ the eISSN to initiate your request. See also AIAA Rights and Permissions .</rights><rights>Copyright © 2020 by Cunningham, M. A. and Hubbard Jr., J. E. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3868 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83</citedby><cites>FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Cunningham, Michael A</creatorcontrib><creatorcontrib>Hubbard, James E</creatorcontrib><title>Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control</title><title>Journal of aircraft</title><description>As multirotor vehicles become integrated into the national airspace for applications such as package delivery and videography, it is important that the inner-loop control system be robust and able to meet ever-demanding performance constraints. To achieve high bandwidth control designs, it is necessary to have accurate and high bandwidth open-loop models. In this Paper, a linear state-space model of the open-loop dynamics of a hex-configuration multirotor vehicle was identified from flight tests conducted with an active feedback controller. The system identification methodology and initial model structure were formed and informed by an analytical model, which incorporated a propeller aerodynamics model derived using blade element theory. The methodology for identification of the open-loop model involved the combined application of manual pilot inputs and automated multisine inputs added to the output of the controller. The effectiveness of the model’s predictive capability was shown with a validation flight test with simultaneous excitation of the four input axes and an independent flight test for validation of the heave model. The final model structure, which incorporated axis-lumped first order dynamics to represent the propulsion system dynamics, was found to be generalizable to various traditional coplanar multirotor configurations.</description><subject>Active control</subject><subject>Aerodynamics</subject><subject>Aircraft</subject><subject>Airspace</subject><subject>Automatic pilots</subject><subject>Aviation</subject><subject>Bandwidths</subject><subject>Blades</subject><subject>Closed loop systems</subject><subject>Configurations</subject><subject>Control systems</subject><subject>Control theory</subject><subject>Controllers</subject><subject>Design</subject><subject>Feedback control</subject><subject>Feedback control systems</subject><subject>Flight tests</subject><subject>Fluid dynamics</subject><subject>Identification</subject><subject>Open source software</subject><subject>Parameter estimation</subject><subject>Propulsion systems</subject><subject>Robust control</subject><subject>State space models</subject><subject>System dynamics</subject><subject>System identification</subject><subject>Vehicles</subject><subject>Videography</subject><issn>1533-3868</issn><issn>0021-8669</issn><issn>1533-3868</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpl0M1Kw0AUBeBBFKzVhW8wIAguUucnyUyXJVgtpHRTBFfD7eSGTo2ZOJkqvr2RFhRc3bv4OAcOIdecTUTG03s-KZjMtExPyIhnUiZS5_r0z39OLvp-xxjTTKkReVl12Cal9x0tXYsQ6NJX2NBFhW10tbMQnW-pryks9010wUcf6DNunW2Qfrq4pTMb3QfSOWK1AftKC9_G4JtLclZD0-PV8Y7Jev6wLp6ScvW4KGZlAoLrmEicipxbsLqaatww3EgxzWqteA25VMoyMUBUGlOdK2m1VFqAStGCGJgck5tDbBf8-x77aHZ-H9qh0Yg0zzRXac4GdXdQNvi-D1ibLrg3CF-GM_MznOHmONxgbw8WHMBv2n_4DSKFasY</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Cunningham, Michael A</creator><creator>Hubbard, James E</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>U9A</scope></search><sort><creationdate>202011</creationdate><title>Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control</title><author>Cunningham, Michael A ; Hubbard, James E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Active control</topic><topic>Aerodynamics</topic><topic>Aircraft</topic><topic>Airspace</topic><topic>Automatic pilots</topic><topic>Aviation</topic><topic>Bandwidths</topic><topic>Blades</topic><topic>Closed loop systems</topic><topic>Configurations</topic><topic>Control systems</topic><topic>Control theory</topic><topic>Controllers</topic><topic>Design</topic><topic>Feedback control</topic><topic>Feedback control systems</topic><topic>Flight tests</topic><topic>Fluid dynamics</topic><topic>Identification</topic><topic>Open source software</topic><topic>Parameter estimation</topic><topic>Propulsion systems</topic><topic>Robust control</topic><topic>State space models</topic><topic>System dynamics</topic><topic>System identification</topic><topic>Vehicles</topic><topic>Videography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cunningham, Michael A</creatorcontrib><creatorcontrib>Hubbard, James E</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of aircraft</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cunningham, Michael A</au><au>Hubbard, James E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control</atitle><jtitle>Journal of aircraft</jtitle><date>2020-11</date><risdate>2020</risdate><volume>57</volume><issue>6</issue><spage>1044</spage><epage>1061</epage><pages>1044-1061</pages><issn>1533-3868</issn><issn>0021-8669</issn><eissn>1533-3868</eissn><abstract>As multirotor vehicles become integrated into the national airspace for applications such as package delivery and videography, it is important that the inner-loop control system be robust and able to meet ever-demanding performance constraints. To achieve high bandwidth control designs, it is necessary to have accurate and high bandwidth open-loop models. In this Paper, a linear state-space model of the open-loop dynamics of a hex-configuration multirotor vehicle was identified from flight tests conducted with an active feedback controller. The system identification methodology and initial model structure were formed and informed by an analytical model, which incorporated a propeller aerodynamics model derived using blade element theory. The methodology for identification of the open-loop model involved the combined application of manual pilot inputs and automated multisine inputs added to the output of the controller. The effectiveness of the model’s predictive capability was shown with a validation flight test with simultaneous excitation of the four input axes and an independent flight test for validation of the heave model. The final model structure, which incorporated axis-lumped first order dynamics to represent the propulsion system dynamics, was found to be generalizable to various traditional coplanar multirotor configurations.</abstract><cop>Virginia</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/1.C035834</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1533-3868
ispartof Journal of aircraft, 2020-11, Vol.57 (6), p.1044-1061
issn 1533-3868
0021-8669
1533-3868
language eng
recordid cdi_proquest_journals_2465817460
source Alma/SFX Local Collection
subjects Active control
Aerodynamics
Aircraft
Airspace
Automatic pilots
Aviation
Bandwidths
Blades
Closed loop systems
Configurations
Control systems
Control theory
Controllers
Design
Feedback control
Feedback control systems
Flight tests
Fluid dynamics
Identification
Open source software
Parameter estimation
Propulsion systems
Robust control
State space models
System dynamics
System identification
Vehicles
Videography
title Open-Loop Linear Model Identification of aMultirotor Vehicle with Active Feedback Control
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T18%3A30%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Open-Loop%20Linear%20Model%20Identification%20of%20aMultirotor%20Vehicle%20with%20Active%20Feedback%20Control&rft.jtitle=Journal%20of%20aircraft&rft.au=Cunningham,%20Michael%20A&rft.date=2020-11&rft.volume=57&rft.issue=6&rft.spage=1044&rft.epage=1061&rft.pages=1044-1061&rft.issn=1533-3868&rft.eissn=1533-3868&rft_id=info:doi/10.2514/1.C035834&rft_dat=%3Cproquest_cross%3E2465817460%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a218t-3e9261cac8d98eb0eb3295f871fa6377c02a21e78e48673c83782a74eca25f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2465817460&rft_id=info:pmid/&rfr_iscdi=true