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...
Saved in:
Published in | International journal of adaptive control and signal processing Vol. 39; no. 6; pp. 1274 - 1293 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Bognor Regis
Wiley Subscription Services, Inc
01.06.2025
|
Subjects | |
Online Access | Get full text |
ISSN | 0890-6327 1099-1115 |
DOI | 10.1002/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 |