Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/21906
Full metadata record
DC FieldValueLanguage
dc.contributor.authorXie, Baolong-
dc.contributor.authorHe, Shuping-
dc.contributor.authorCao, Xiang-
dc.contributor.authorWang, Honghai-
dc.contributor.authorStojanović, Vladimir-
dc.contributor.authorShi, Kaibo-
dc.date.accessioned2025-01-08T08:02:04Z-
dc.date.available2025-01-08T08:02:04Z-
dc.date.issued2024-
dc.identifier.issn0941-0643en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/21906-
dc.description.abstractAccurate heading control is the premise for underwater vehicles to complete underwater operations. In order to improve the performance of heading control, this paper proposes a heading control strategy based on PID-fuzzy switching. First, the force analysis of the steering motion was carried out to derive the dynamics model of the steering motion. Then, the whole heading control process is divided into two phases, steering phase and holding phase. Fuzzy control is used in the steering phase, and PID control is used in the holding phase. By setting the automatic switching switch, the control system can switch freely between the two to meet the needs of system adjustment under different errors. Finally, the performance of the established heading control system is verified through motion control simulations and pool experiments, and the proposed control strategy is compared with other methods. The results show that the control strategy can effectively achieve ROV heading control with good steady-state accuracy, and the overall performance has been greatly improved.en_US
dc.language.isoenen_US
dc.relation451-03-65/2024-03/200108en_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.subjectROVen_US
dc.subjectHeading controlen_US
dc.subjectPIDen_US
dc.subjectFuzzy controlen_US
dc.titlePID-fuzzy switching-based strategy to heading control for remote operated vehicleen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doi10.1007/s00521-024-10911-xen_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

Page views(s)

46

Downloads(s)

1

Files in This Item:
File Description SizeFormat 
NCAA_2024.pdf
  Restricted Access
111.16 kBAdobe PDFView/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.