Adaptive Gain Scheduled Reentry Control for Reusable Launch Vehicles Based on Active Estimation and Classified Compensation

This study proposes an adaptive gain scheduled attitude control strategy for the reentry phase of reusable launch vehicles (RLVs), which is model‐independent and offers a convenient implementation. It originally integrates an extended state observer (ESO) with a sigmoid estimator to address the wide...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of adaptive control and signal processing Vol. 39; no. 6; pp. 1274 - 1293
Main Authors Wang, Yongshuai, Sun, Mingwei, Xia, Chengyi, Chen, Zengqiang
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.06.2025
Subjects
Online AccessGet full text
ISSN0890-6327
1099-1115
DOI10.1002/acs.4006

Cover

Loading…
Abstract This study proposes an adaptive gain scheduled attitude control strategy for the reentry phase of reusable launch vehicles (RLVs), which is model‐independent and offers a convenient implementation. It originally integrates an extended state observer (ESO) with a sigmoid estimator to address the wide envelope of velocities and altitudes, along with the strong nonlinearities and aerodynamic uncertainties. In particular, the ESO is used for disturbance estimation, whereas the sigmoid estimator is applied for disturbance classification. The proposed design achieves the adaptive online estimation and compensation of the RLV control gain and reduces the model dependence. In addition, the closed‐loop finite‐gain stability is investigated based on the Lyapunov theory, and the tracking boundedness can be proved. Finally, the effectiveness and robustness of the proposed design are verified based on numerical simulations and Monte Carlo tests, and the advantages of weak model dependence and strong ability on disturbance rejection are highlighted in the proposed design compared with the PID control and linear active disturbance rejection control.
AbstractList This study proposes an adaptive gain scheduled attitude control strategy for the reentry phase of reusable launch vehicles (RLVs), which is model‐independent and offers a convenient implementation. It originally integrates an extended state observer (ESO) with a sigmoid estimator to address the wide envelope of velocities and altitudes, along with the strong nonlinearities and aerodynamic uncertainties. In particular, the ESO is used for disturbance estimation, whereas the sigmoid estimator is applied for disturbance classification. The proposed design achieves the adaptive online estimation and compensation of the RLV control gain and reduces the model dependence. In addition, the closed‐loop finite‐gain stability is investigated based on the Lyapunov theory, and the tracking boundedness can be proved. Finally, the effectiveness and robustness of the proposed design are verified based on numerical simulations and Monte Carlo tests, and the advantages of weak model dependence and strong ability on disturbance rejection are highlighted in the proposed design compared with the PID control and linear active disturbance rejection control.
Author Wang, Yongshuai
Xia, Chengyi
Sun, Mingwei
Chen, Zengqiang
Author_xml – sequence: 1
  givenname: Yongshuai
  surname: Wang
  fullname: Wang, Yongshuai
  organization: School of Artificial Intelligence Tiangong University Tianjin China
– sequence: 2
  givenname: Mingwei
  orcidid: 0000-0002-0974-6525
  surname: Sun
  fullname: Sun, Mingwei
  organization: College of Artificial Intelligence Nankai University Tianjin China
– sequence: 3
  givenname: Chengyi
  orcidid: 0000-0003-2686-5072
  surname: Xia
  fullname: Xia, Chengyi
  organization: School of Artificial Intelligence Tiangong University Tianjin China
– sequence: 4
  givenname: Zengqiang
  orcidid: 0000-0002-1415-4073
  surname: Chen
  fullname: Chen, Zengqiang
  organization: College of Artificial Intelligence Nankai University Tianjin China
BookMark eNotUNtKAzEUDFLBtgp-QsAXX7bmspfksS61CguCt9clzZ7QLdtkTXaF4s-btj4NzMyZw8wMTayzgNAtJQtKCHtQOixSQvILNKVEyoRSmk3QlAhJkpyz4grNQtgREjXKp-h32ah-aH8Ar1Vr8bveQjN20OA3ADv4Ay5dBNdh43zkxqA2HeBKjVZv8RdsW91BwI8qxBNn8VKfslZhaPdqaCOjbIPLToXQmjZ6SrfvwYaTdo0ujeoC3PzjHH0-rT7K56R6Xb-UyyrRjIohSTMtCt6ogqYNy4yRoI3UhBcyZzRTqQQjOEgKqmBGCNNwwTd0IzNmtKS55HN0d87tvfseIQz1zo3expc1Z0zIVBa0iK77s0t7F4IHU_c-lvCHmpL6OG0dp62P0_I_kaluiA
Cites_doi 10.1177/01423312211056131
10.1016/j.automatica.2023.110974
10.1109/87.238400
10.1109/TIE.2008.2011621
10.1016/j.ast.2018.08.028
10.1002/rnc.5103
10.1016/j.ast.2022.107855
10.1016/j.isatra.2021.04.031
10.1016/j.ast.2021.106918
10.1016/j.asr.2022.08.045
10.1108/AEAT-10-2012-0167
10.1016/j.asr.2022.02.049
10.1002/acs.3315
10.1109/TIE.2023.3344834
10.1007/s12555-021-0643-6
10.2514/6.2000-4157
10.1109/TAC.2024.3417717
10.1109/TSMC.2022.3145508
10.1080/03772063.2022.2120105
10.1109/TIE.2023.3260343
10.1016/j.actaastro.2022.10.056
10.1016/j.actaastro.2022.12.044
10.1002/acs.2541
10.1002/rnc.3589
10.1007/s13369-023-08587-x
10.1109/TII.2019.2924731
10.1002/acs.3482
10.1016/j.actaastro.2016.04.015
10.1002/rnc.4349
10.1016/j.isatra.2021.10.034
ContentType Journal Article
Copyright 2025 John Wiley & Sons Ltd.
Copyright_xml – notice: 2025 John Wiley & Sons Ltd.
DBID AAYXX
CITATION
7SC
7SP
8FD
JQ2
L7M
L~C
L~D
DOI 10.1002/acs.4006
DatabaseName CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Technology Research Database
Computer and Information Systems Abstracts – Academic
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts Professional
DatabaseTitleList CrossRef
Technology Research Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1099-1115
EndPage 1293
ExternalDocumentID 10_1002_acs_4006
GroupedDBID -~X
.3N
.GA
.Y3
05W
0R~
10A
1L6
1OB
1OC
31~
33P
3EH
3SF
3WU
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
5GY
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A03
AAESR
AAEVG
AAHQN
AAMMB
AAMNL
AANHP
AANLZ
AAONW
AASGY
AAXRX
AAYCA
AAYOK
AAYXX
AAZKR
ABCQN
ABCUV
ABEML
ABIJN
ABJNI
ACAHQ
ACBWZ
ACCZN
ACGFO
ACGFS
ACIWK
ACPOU
ACRPL
ACSCC
ACXBN
ACXQS
ACYXJ
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADNMO
ADOZA
ADXAS
ADZMN
AEFGJ
AEIGN
AEIMD
AENEX
AEUYR
AEYWJ
AFBPY
AFFPM
AFGKR
AFWVQ
AFZJQ
AGHNM
AGQPQ
AGXDD
AGYGG
AHBTC
AIAGR
AIDQK
AIDYY
AITYG
AIURR
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMBMR
AMVHM
AMYDB
ASPBG
ATUGU
AUFTA
AVWKF
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BY8
CITATION
CMOOK
CS3
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRSTM
DU5
EBS
EJD
F00
F01
F04
F5P
FEDTE
G-S
G.N
GNP
GODZA
H.T
H.X
HBH
HF~
HGLYW
HHY
HHZ
HVGLF
HZ~
I-F
IX1
J0M
JPC
KQQ
LATKE
LAW
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
M59
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
N9A
NF~
NNB
O66
O9-
OIG
P2P
P2W
P2X
P4D
PALCI
PQQKQ
Q.N
Q11
QB0
QRW
R.K
RIWAO
RJQFR
ROL
RX1
SAMSI
SUPJJ
TUS
UB1
V2E
W8V
W99
WBKPD
WIH
WIK
WJL
WLBEL
WOHZO
WQJ
WXSBR
WYISQ
XG1
XPP
XV2
ZZTAW
~IA
~WT
7SC
7SP
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c218t-45c873da714d25ff9ecf9c03796215a49ef83e91ea72f88fd383b1b952fc91693
ISSN 0890-6327
IngestDate Sat Aug 23 13:18:07 EDT 2025
Thu Jul 03 08:20:24 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c218t-45c873da714d25ff9ecf9c03796215a49ef83e91ea72f88fd383b1b952fc91693
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-2686-5072
0000-0002-0974-6525
0000-0002-1415-4073
PQID 3228949717
PQPubID 996374
PageCount 20
ParticipantIDs proquest_journals_3228949717
crossref_primary_10_1002_acs_4006
PublicationCentury 2000
PublicationDate 2025-06-00
20250601
PublicationDateYYYYMMDD 2025-06-01
PublicationDate_xml – month: 06
  year: 2025
  text: 2025-06-00
PublicationDecade 2020
PublicationPlace Bognor Regis
PublicationPlace_xml – name: Bognor Regis
PublicationTitle International journal of adaptive control and signal processing
PublicationYear 2025
Publisher Wiley Subscription Services, Inc
Publisher_xml – name: Wiley Subscription Services, Inc
References e_1_2_9_30_1
e_1_2_9_31_1
Gao Z. Q. (e_1_2_9_27_1) 2003
e_1_2_9_11_1
e_1_2_9_10_1
e_1_2_9_35_1
e_1_2_9_13_1
e_1_2_9_32_1
e_1_2_9_12_1
Keshmiri S. (e_1_2_9_33_1) 2004
e_1_2_9_15_1
e_1_2_9_14_1
e_1_2_9_17_1
e_1_2_9_36_1
e_1_2_9_16_1
e_1_2_9_37_1
e_1_2_9_19_1
e_1_2_9_18_1
e_1_2_9_20_1
Hameed A. S. (e_1_2_9_21_1) 2022; 103
Najiya N. (e_1_2_9_24_1) 2023
e_1_2_9_22_1
e_1_2_9_23_1
e_1_2_9_8_1
e_1_2_9_7_1
e_1_2_9_6_1
e_1_2_9_5_1
e_1_2_9_4_1
e_1_2_9_3_1
e_1_2_9_2_1
Khalil H. (e_1_2_9_34_1) 2002
e_1_2_9_9_1
e_1_2_9_26_1
Li A. (e_1_2_9_25_1) 2014
e_1_2_9_28_1
e_1_2_9_29_1
References_xml – volume-title: Proceedings of the AIAA Modeling and Simulation Technologies Conference
  year: 2004
  ident: e_1_2_9_33_1
– ident: e_1_2_9_12_1
  doi: 10.1177/01423312211056131
– ident: e_1_2_9_37_1
  doi: 10.1016/j.automatica.2023.110974
– ident: e_1_2_9_19_1
  doi: 10.1109/87.238400
– ident: e_1_2_9_26_1
  doi: 10.1109/TIE.2008.2011621
– ident: e_1_2_9_32_1
  doi: 10.1016/j.ast.2018.08.028
– ident: e_1_2_9_35_1
  doi: 10.1002/rnc.5103
– ident: e_1_2_9_3_1
  doi: 10.1016/j.ast.2022.107855
– ident: e_1_2_9_7_1
  doi: 10.1016/j.isatra.2021.04.031
– ident: e_1_2_9_8_1
  doi: 10.1016/j.ast.2021.106918
– ident: e_1_2_9_14_1
  doi: 10.1016/j.asr.2022.08.045
– ident: e_1_2_9_20_1
  doi: 10.1108/AEAT-10-2012-0167
– volume-title: Proceedings of International Conference on Control Science and Systems Engineering
  year: 2014
  ident: e_1_2_9_25_1
– ident: e_1_2_9_13_1
  doi: 10.1016/j.asr.2022.02.049
– ident: e_1_2_9_28_1
  doi: 10.1002/acs.3315
– ident: e_1_2_9_29_1
  doi: 10.1109/TIE.2023.3344834
– volume-title: Nonlinear Systems
  year: 2002
  ident: e_1_2_9_34_1
– ident: e_1_2_9_5_1
  doi: 10.1007/s12555-021-0643-6
– ident: e_1_2_9_22_1
  doi: 10.2514/6.2000-4157
– ident: e_1_2_9_36_1
  doi: 10.1109/TAC.2024.3417717
– volume: 103
  start-page: 381
  issue: 3
  year: 2022
  ident: e_1_2_9_21_1
  article-title: Gain Scheduled Finite Horizon LQR for Approach and Landing Phase of a Reusable Launch Vehicle
  publication-title: Journal of the Institution of Engineers: Series C
– ident: e_1_2_9_9_1
  doi: 10.1109/TSMC.2022.3145508
– ident: e_1_2_9_31_1
  doi: 10.1080/03772063.2022.2120105
– ident: e_1_2_9_4_1
  doi: 10.1109/TIE.2023.3260343
– volume-title: Proceedings of the American Control Conference
  year: 2003
  ident: e_1_2_9_27_1
– ident: e_1_2_9_11_1
  doi: 10.1016/j.actaastro.2022.10.056
– ident: e_1_2_9_17_1
  doi: 10.1016/j.actaastro.2022.12.044
– volume-title: Proceedings of International Conference on Control, Communication and Computing
  year: 2023
  ident: e_1_2_9_24_1
– ident: e_1_2_9_2_1
  doi: 10.1002/acs.2541
– ident: e_1_2_9_6_1
  doi: 10.1002/rnc.3589
– ident: e_1_2_9_15_1
  doi: 10.1007/s13369-023-08587-x
– ident: e_1_2_9_16_1
  doi: 10.1109/TII.2019.2924731
– ident: e_1_2_9_30_1
  doi: 10.1002/acs.3482
– ident: e_1_2_9_18_1
  doi: 10.1016/j.actaastro.2016.04.015
– ident: e_1_2_9_23_1
  doi: 10.1002/rnc.4349
– ident: e_1_2_9_10_1
  doi: 10.1016/j.isatra.2021.10.034
SSID ssj0009913
Score 2.397059
Snippet This study proposes an adaptive gain scheduled attitude control strategy for the reentry phase of reusable launch vehicles (RLVs), which is model‐independent...
SourceID proquest
crossref
SourceType Aggregation Database
Index Database
StartPage 1274
SubjectTerms Attitude control
Compensation
Proportional integral derivative
Rejection
Reusable launch vehicles
State observers
Title Adaptive Gain Scheduled Reentry Control for Reusable Launch Vehicles Based on Active Estimation and Classified Compensation
URI https://www.proquest.com/docview/3228949717
Volume 39
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nj9MwELXKcoED4lMsuyAjcatSGieu42OpuqxQWaRViwqXyPFHWoTSQlutgH_JL2Jsx01WqtDCJYomUhR5XmbG9ptnhF5lKSm4ojLqpymNUpUoSwIYRDY3UD2gRrrtgvcXg_NZ-m5O553O7xZrabctevLnwb6S__Eq2MCvtkv2Hzy7fykY4B78C1fwMFxv5OOhEmtH_XkL83srqAl546u2DYfuvBDbzud46JZKeKl3G9cmNRGQyhbdj3rhGHHdN5DHlN0zGLrQ1x3DT-_7Gd3Ggjs1c2lspWpjB8x6G19-aWjwzapiS4tChO8LhHi3Sr8s7eO171AImdOt6fu482lVlZvFTiybDaua4V-VV3pvnXua72ihq_LH3jqqu00-g_UbQL9sL2sQ2tCvbhg824GSwxQ48RoDPe0DuVUehThO25HeyybViG6H7Zj4o4LqEsDWQAfTi5erFXLTg9B3QMH74kN-NptM8ul4Pr2FbhPGPHXgspE0g3rcsR7CNwdB5D55Hd57vUS6XiG4smd6H92r5yt46MH3AHV09RDdbalYPkK_AgyxhSHewxDXMMQ1DDHAEAcYYg9DHGCIHQzxqsIehriBIQbU4AaGuA3Dx2h2Np6OzqP6TI9IQjG5jVIqM5YoweJUEWoM19Jw2U8YH0DxKVKuTZZoHmvBiMkyo5IsKeKCUwJRwwoHPUFH1arSTxFW4DUhlU6YVjCtYIJIY5QopBAKPJ8do5dhGPO1l27JvUg3yWGoczvUx-g0jG9e_x6bHHJcxlPOYvbs749P0J0GuqfoaPt9p59DjbotXjin_wGQfZv1
linkProvider Wiley-Blackwell
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Adaptive+Gain+Scheduled+Reentry+Control+for+Reusable+Launch+Vehicles+Based+on+Active+Estimation+and+Classified+Compensation&rft.jtitle=International+journal+of+adaptive+control+and+signal+processing&rft.au=Wang%2C+Yongshuai&rft.au=Sun%2C+Mingwei&rft.au=Xia%2C+Chengyi&rft.au=Chen%2C+Zengqiang&rft.date=2025-06-01&rft.pub=Wiley+Subscription+Services%2C+Inc&rft.issn=0890-6327&rft.eissn=1099-1115&rft.volume=39&rft.issue=6&rft.spage=1274&rft.epage=1293&rft_id=info:doi/10.1002%2Facs.4006&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0890-6327&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0890-6327&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0890-6327&client=summon