Midcourse Guidance Trajectory Planning Method Based on Pseudospectral Sequence Convex Programming
A method of course planning based on pseudospectral sequence convex programming is proposed to address the issues of slow generation speed, poor trapezoidal discrete fitting accuracy and the lack of a solution to strong equality terminal constraints in fixed time. This paper employs convex programmi...
Gespeichert in:
| Veröffentlicht in: | 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) S. 1 - 6 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
21.07.2024
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | A method of course planning based on pseudospectral sequence convex programming is proposed to address the issues of slow generation speed, poor trapezoidal discrete fitting accuracy and the lack of a solution to strong equality terminal constraints in fixed time. This paper employs convex programming theory to enhance the efficiency of model solving and variable trust region to reduce the number of iterations. The model is discretized using the pseudo-spectrum method. A relaxation method for terminal constraints is proposed to relax strong equality constraints and constrain them in the performance index, thus ensuring that the trajectory can be generated quickly. The simulation outcomes reveal that the presented approach is capable of swiftly generating midcourse guidance trajectories that adhere to various constraints. |
|---|---|
| AbstractList | A method of course planning based on pseudospectral sequence convex programming is proposed to address the issues of slow generation speed, poor trapezoidal discrete fitting accuracy and the lack of a solution to strong equality terminal constraints in fixed time. This paper employs convex programming theory to enhance the efficiency of model solving and variable trust region to reduce the number of iterations. The model is discretized using the pseudo-spectrum method. A relaxation method for terminal constraints is proposed to relax strong equality constraints and constrain them in the performance index, thus ensuring that the trajectory can be generated quickly. The simulation outcomes reveal that the presented approach is capable of swiftly generating midcourse guidance trajectories that adhere to various constraints. |
| Author | Zhou, Chijun Lei, Humin Ji, Boyang Zhang, Jinlin Li, Jiong He, Yangchao |
| Author_xml | – sequence: 1 givenname: Jinlin surname: Zhang fullname: Zhang, Jinlin email: jlzhangnet@163.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China – sequence: 2 givenname: Jiong surname: Li fullname: Li, Jiong email: graceful001@126.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China – sequence: 3 givenname: Humin surname: Lei fullname: Lei, Humin email: hmleinet@126.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China – sequence: 4 givenname: Chijun surname: Zhou fullname: Zhou, Chijun email: zhouchijun666@126.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China – sequence: 5 givenname: Yangchao surname: He fullname: He, Yangchao email: heyangchao0913@163.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China – sequence: 6 givenname: Boyang surname: Ji fullname: Ji, Boyang email: 18335957588@aliyun.com organization: Air Force Engineering University,Air Defense and Antimissile School,Xi'an,China |
| BookMark | eNo1j0FOwzAQRY0ECyi9AQtzgJSxnUzqZYmgRWpFpGRfOc6kBCV2cRJEb08RsHqb_770btil844YuxewEAL0Q5YVRblCCRoXEmS8EIBapDFesLlO9VIloBAR4JqZXVtbP4WB-Hpqa-Ms8TKYd7KjDyeed8a51h34jsY3X_NHM1DNveP5QFPth-N5F0zHC_qY6MfNvPukL54Hfwim78_qLbtqTDfQ_I8zVj4_ldkm2r6uX7LVNmq1GCOhKl1ZS01qsEGrlkCoKKlUnEItVYWmkbKJqaIGrEVlRYK2klaDEVqBVTN293vbEtH-GNrehNP-P1x9AyasVec |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/CCSSTA62096.2024.10691746 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798350366600 |
| EndPage | 6 |
| ExternalDocumentID | 10691746 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China funderid: 10.13039/501100001809 |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i91t-13b9bccef7a6f6c380e63e5b3470d23b6af22f4ebef0cc63c156cb2c90a1930c3 |
| IEDL.DBID | RIE |
| IngestDate | Wed Oct 09 06:12:58 EDT 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i91t-13b9bccef7a6f6c380e63e5b3470d23b6af22f4ebef0cc63c156cb2c90a1930c3 |
| PageCount | 6 |
| ParticipantIDs | ieee_primary_10691746 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-July-21 |
| PublicationDateYYYYMMDD | 2024-07-21 |
| PublicationDate_xml | – month: 07 year: 2024 text: 2024-July-21 day: 21 |
| PublicationDecade | 2020 |
| PublicationTitle | 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) |
| PublicationTitleAbbrev | CCSSTA |
| PublicationYear | 2024 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.8768942 |
| Snippet | A method of course planning based on pseudospectral sequence convex programming is proposed to address the issues of slow generation speed, poor trapezoidal... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Accuracy change trust region fast generation Fitting Interpolation Performance analysis Planning pseudospectral discretization Relaxation methods sequence convex programming Systems simulation terminal relaxation Time factors Trajectory Trajectory planning |
| Title | Midcourse Guidance Trajectory Planning Method Based on Pseudospectral Sequence Convex Programming |
| URI | https://ieeexplore.ieee.org/document/10691746 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5uiHhSceJvInjtTJM2XY5anB7cGGyH3Uby8goVXWVbRf97k6xTPHjwVkpDII_wvff6fe8j5LoQmTAubY1QaREl0maRMphEIGJALrUDnSAUfsqGw950qkaNWD1oYRAxkM-w6x_Dv3xbQe1bZe6GS1ddJLJFWlkm12KtHXLVzM28yfPxeHIrucvKXeHHk-7m-1_OKQE4-nv_3HKfdH4keHT0DS4HZAvnh0QPSguVp13Qh7q0PmDUgc1z6Lx_0o0BER0EW2h65xDK0mpOR0usbRVElQv9QscNfZrmnnL-4ffxHK1Xt7RDJv37Sf4YNR4JUalibyRvlAHAItOykCB6DKXA1IgkY5YLI3XBeZG4SBUMQApw5RoYDoppl7kxEEekPa_meEwopjFazayDK1f0AdO2KHqpUcBRpciSE9LxxzN7W0_BmG1O5vSP92dk1wfB90F5fE7aq0WNF2Qb3lflcnEZYvcFmqee7A |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA46RT2pOPG3Ebx2ZkmaLkctzonbGKyH3UaavEJFW9lW0f_eJOsUDx68hUAI5BG-916-Lx9C1xmLWGrT1gCkYgEXJgpkCjzQrK2BCmVBxwuF-9Fw2JlM5KgWq3stDAB48hm03NC_5ZtSV65VZm-4sNUFF-toI-SckqVcawtd1T9n3sTxeJzcCmrzclv6Ud5arfjlneKho7v7z033UPNHhIdH3_Cyj9agOEBqkBtdOuIFfqhy40KGLdw8-977J15ZEOGBN4bGdxajDC4LPJpDZUovq5ypFzyuCdQ4dqTzD7ePY2m92qVNlHTvk7gX1C4JQS7bzko-lanWkEVKZEKzDgHBIEwZj4ihLBUqozTjNlYZ0VowbQs2nVItibK5G9HsEDWKsoAjhCFsg1HEWMCyZZ8mymRZJ0ylpiBDIPwYNd3xTN-W_2BMVydz8sf8JdruJYP-tP84fDpFOy4gritK22eosZhVcI429fsin88ufBy_AAoAojM |
| 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%3Abook&rft.genre=proceeding&rft.title=2024+IEEE+25th+China+Conference+on+System+Simulation+Technology+and+its+Application+%28CCSSTA%29&rft.atitle=Midcourse+Guidance+Trajectory+Planning+Method+Based+on+Pseudospectral+Sequence+Convex+Programming&rft.au=Zhang%2C+Jinlin&rft.au=Li%2C+Jiong&rft.au=Lei%2C+Humin&rft.au=Zhou%2C+Chijun&rft.date=2024-07-21&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FCCSSTA62096.2024.10691746&rft.externalDocID=10691746 |