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Hybrid multi-objective control allocation strategy for reusable launch vehicle in re-entry phase.

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Title: Hybrid multi-objective control allocation strategy for reusable launch vehicle in re-entry phase.
Authors: Zhang, Xin1 (AUTHOR) zhangxin2019@nuaa.edu.cn, Mu, Rongjun2 (AUTHOR), Chen, Jiaye3 (AUTHOR), Wu, Peng2 (AUTHOR)
Source: Aerospace Science & Technology. Sep2021, Vol. 116, pN.PAG-N.PAG. 1p.
Subjects: Analytic hierarchy process, Launch vehicles (Astronautics), Energy consumption, Dynamic models, Actuators
Abstract: The reentry of the reusable launch vehicle (RLV) normally requires redundant and heterogeneous actuators to assist attitude control, so the control allocation (CA) technology for the over-actuated system is a key research nowadays. This paper not only discusses how to allocate the control command between two different kinds of actuators, the reaction control system (RCS) and control surfaces, but also presents a hybrid multi-objective control allocation strategy based on the analytic hierarchy process (AHP) method to achieve the pareto solutions to RLV's allocation problems. Firstly, both actuators' dynamic models with corresponding constraints, and RLV's nonlinear model are built as the basis. Secondly, this paper considers a series of optimization functions, such as the minimum of control allocation error, the minimum of the fuel consumption, the maximum of actuators' control efficiency, which makes RLV's allocation problem multi-objective and multi-constraint. Meanwhile, to achieve the pareto solution or the integrated optimal one from all the feasible solutions, a weighted combination approach is introduced in. Then, this multi-objective allocation problem is transformed into a more easily solved, single-objective one, in which each optimization function is multiplied with its corresponding dynamic weight value based on the preference matrix of AHP. Finally, this designed strategy is demonstrated in RLV's re-entry phase, which not only verifies its effectiveness and fault-tolerant capability, but also shows its advantages of achieving better comprehensive allocation performance by comparisons with the single-objective control or the other two traditional daisy-chaining and proportional allocation methods. [ABSTRACT FROM AUTHOR]
Copyright of Aerospace Science & Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 151172600
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PubTypeId: academicJournal
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  Label: Title
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  Data: Hybrid multi-objective control allocation strategy for reusable launch vehicle in re-entry phase.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Xin%22">Zhang, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangxin2019@nuaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Mu%2C+Rongjun%22">Mu, Rongjun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jiaye%22">Chen, Jiaye</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Peng%22">Wu, Peng</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Aerospace+Science+%26+Technology%22">Aerospace Science & Technology</searchLink>. Sep2021, Vol. 116, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22Launch+vehicles+%28Astronautics%29%22">Launch vehicles (Astronautics)</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+models%22">Dynamic models</searchLink><br /><searchLink fieldCode="DE" term="%22Actuators%22">Actuators</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The reentry of the reusable launch vehicle (RLV) normally requires redundant and heterogeneous actuators to assist attitude control, so the control allocation (CA) technology for the over-actuated system is a key research nowadays. This paper not only discusses how to allocate the control command between two different kinds of actuators, the reaction control system (RCS) and control surfaces, but also presents a hybrid multi-objective control allocation strategy based on the analytic hierarchy process (AHP) method to achieve the pareto solutions to RLV's allocation problems. Firstly, both actuators' dynamic models with corresponding constraints, and RLV's nonlinear model are built as the basis. Secondly, this paper considers a series of optimization functions, such as the minimum of control allocation error, the minimum of the fuel consumption, the maximum of actuators' control efficiency, which makes RLV's allocation problem multi-objective and multi-constraint. Meanwhile, to achieve the pareto solution or the integrated optimal one from all the feasible solutions, a weighted combination approach is introduced in. Then, this multi-objective allocation problem is transformed into a more easily solved, single-objective one, in which each optimization function is multiplied with its corresponding dynamic weight value based on the preference matrix of AHP. Finally, this designed strategy is demonstrated in RLV's re-entry phase, which not only verifies its effectiveness and fault-tolerant capability, but also shows its advantages of achieving better comprehensive allocation performance by comparisons with the single-objective control or the other two traditional daisy-chaining and proportional allocation methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Aerospace Science & Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ast.2021.106825
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Analytic hierarchy process
        Type: general
      – SubjectFull: Launch vehicles (Astronautics)
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Dynamic models
        Type: general
      – SubjectFull: Actuators
        Type: general
    Titles:
      – TitleFull: Hybrid multi-objective control allocation strategy for reusable launch vehicle in re-entry phase.
        Type: main
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            NameFull: Zhang, Xin
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            NameFull: Mu, Rongjun
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            NameFull: Chen, Jiaye
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            NameFull: Wu, Peng
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          Dates:
            – D: 01
              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
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              Value: 12709638
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              Value: 116
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