Motorized buoy path following based on improved LOS algorithm and Aquila optimizer algorithm

This paper improves the traditional LOS guidance algorithm and obtains a Los guidance algorithm based on time-varying virtual guidance distance. Through comparative simulation, it is proved that the method is better to solve the guidance angle when designing the path following controller of motorize...

Full description

Saved in:
Bibliographic Details
Published inInternational Conference on Industrial Mechatronics and Automation (Online) pp. 376 - 381
Main Authors Guan, Fengxu, Yang, Zipeng, Zhang, Xu, Huang, Jiawei
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.08.2022
Subjects
Online AccessGet full text
ISSN2152-744X
DOI10.1109/ICMA54519.2022.9856219

Cover

Abstract This paper improves the traditional LOS guidance algorithm and obtains a Los guidance algorithm based on time-varying virtual guidance distance. Through comparative simulation, it is proved that the method is better to solve the guidance angle when designing the path following controller of motorized buoy. On the other hand, in order to reduce the unnecessary energy loss of the motorized buoy, the rudder energy loss of the motorized buoy is taken into account, and a more energy-saving path following controller of the motorized buoy is designed. Aquila optimizer is introduced to complete the solution of the control quantity. Ultimately, through comparative simulation, it is proved that the improved controller can achieve more energy-saving control performance while maintaining superior track control effect.
AbstractList This paper improves the traditional LOS guidance algorithm and obtains a Los guidance algorithm based on time-varying virtual guidance distance. Through comparative simulation, it is proved that the method is better to solve the guidance angle when designing the path following controller of motorized buoy. On the other hand, in order to reduce the unnecessary energy loss of the motorized buoy, the rudder energy loss of the motorized buoy is taken into account, and a more energy-saving path following controller of the motorized buoy is designed. Aquila optimizer is introduced to complete the solution of the control quantity. Ultimately, through comparative simulation, it is proved that the improved controller can achieve more energy-saving control performance while maintaining superior track control effect.
Author Huang, Jiawei
Guan, Fengxu
Yang, Zipeng
Zhang, Xu
Author_xml – sequence: 1
  givenname: Fengxu
  surname: Guan
  fullname: Guan, Fengxu
  email: guanfengxu@hrbeu.edu.cn
  organization: Harbin Engineering University, 145 Nantong street,College of Intelligent Systems Science and Engineering,Harbin,Heilongjiang,China
– sequence: 2
  givenname: Zipeng
  surname: Yang
  fullname: Yang, Zipeng
  organization: Harbin Engineering University, 145 Nantong street,College of Intelligent Systems Science and Engineering,Harbin,Heilongjiang,China
– sequence: 3
  givenname: Xu
  surname: Zhang
  fullname: Zhang, Xu
  email: 983707436@qq.com
  organization: Harbin Engineering University, 145 Nantong street,College of Intelligent Systems Science and Engineering,Harbin,Heilongjiang,China
– sequence: 4
  givenname: Jiawei
  surname: Huang
  fullname: Huang, Jiawei
  organization: Harbin Engineering University, 145 Nantong street,College of Intelligent Systems Science and Engineering,Harbin,Heilongjiang,China
BookMark eNpFkMtKw0AYhUdRsNY-gSDzAqn_P5c0syzFS6GlCxVcCGWu7UiSiUlU6tMbsODqHPg43-JckrM61Z6QG4QpIqjb5WI9l0KimjJgbKoKmTNUJ2SiZgXmuRRQSA6nZMRQsmwmxOsFmXTdOwBwQECFI_K2Tn1q44931HymA210v6chlWX6jvWOGt0NJNU0Vk2bvoa-2jxRXe6GTb-vqK4dnX98xlLT1PSxGkTtP74i50GXnZ8cc0xe7u-eF4_ZavOwXMxXWWTA-yxIn1uwzhReezMD7QSTDoRFYzV3hoHN8xCEskFzj5qBxAJEcIIHa3zgY3L9543e-23Txkq3h-3xD_4LtqJZaQ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICMA54519.2022.9856219
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
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://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9781665408530
1665408537
EISSN 2152-744X
EndPage 381
ExternalDocumentID 9856219
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
RNS
ID FETCH-LOGICAL-i203t-f5e6c0cdb8eaeb70ad425d04c1bca3db20c66ff49cfa3e1a2051804fd43fcbef3
IEDL.DBID RIE
IngestDate Wed Aug 27 02:28:05 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-f5e6c0cdb8eaeb70ad425d04c1bca3db20c66ff49cfa3e1a2051804fd43fcbef3
PageCount 6
ParticipantIDs ieee_primary_9856219
PublicationCentury 2000
PublicationDate 2022-Aug.-7
PublicationDateYYYYMMDD 2022-08-07
PublicationDate_xml – month: 08
  year: 2022
  text: 2022-Aug.-7
  day: 07
PublicationDecade 2020
PublicationTitle International Conference on Industrial Mechatronics and Automation (Online)
PublicationTitleAbbrev ICMA
PublicationYear 2022
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003010191
Score 1.8208109
Snippet This paper improves the traditional LOS guidance algorithm and obtains a Los guidance algorithm based on time-varying virtual guidance distance. Through...
SourceID ieee
SourceType Publisher
StartPage 376
SubjectTerms Aquila Optimizer
Control for course keeping and path following
Energy loss
LOS algorithm
Model predictive control
Motorized buoy
Predictive models
Process control
Propellers
Solid modeling
Target tracking
Trajectory tracking
Title Motorized buoy path following based on improved LOS algorithm and Aquila optimizer algorithm
URI https://ieeexplore.ieee.org/document/9856219
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NS8MwGA5zJ734sYnf5ODRdmmbpOlxDMcUq4IOdhAknzrcWh0t4n69SVc3FQ_eQkOakDfJQ968z_MCcBqghNsLG_YkodLDJEo8Zs3sScMMdYJULHDc4fSaDob4ckRGDXC25MJoravgM-27YvWWr3JZOldZJ2EWrZ3G51rM6IKrtfSnRE4sLQlqErAdQueil3aJU0-xt8Aw9OvGP7KoVCDS3wTpV_eL2JEXvyyEL-e_lBn_O74t0F7R9eDtEoi2QUNnO2Djm9JgCzykuVMDmWsFRZl_QJeIGBq7BvJ3Ww8dlimYZ3Bc-Rhs-ermDvLJk21TPE8hzxTsvpXjCYe5PWOm9kezVXUbDPvn972BVydW8MYhigrPEE0lkkowbQ0VI67szlUIy0BIHikRIkmpMTiRhkc64KHduQxho3BkpNAm2gXNLM_0HoAxTxTmmuiEGEwZEVQGhCPBVCQt8MX7oOXm6fF1oZ3xWE_Rwd-fD8G6s1UVYBcfgWYxK_WxBf1CnFTW_gTooq6h
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bT8IwFG4IPqgvXsB4tw8-urFLu3WPhEhAGZoICQ8mpFclwqZki5FfbzsmqPHBt2ZNm5Oetd96dr7vAHDpOhHVFzZkcRxwC2E_soh2s8UVUYERpCKu4Q7H_aAzRDcjPKqAqxUXRkpZJJ9J2zSLf_ki5bkJlTUiotHaaHxuYIQQXrK1VhEV38ilRW5JA9ZGNLqtuImNfoq-B3qeXQ7_UUelgJH2Doi_DFhmj7zYecZsvvilzfhfC3dBfU3Yg_crKNoDFZnsg-1vWoM18BinRg9kIQVkefoBTSliqPRbkL7rfmjQTMA0gZMiyqDbvbsHSKdPekz2PIM0EbD5lk-mFKb6lJnpiebr7joYtq8HrY5VllawJp7jZ5bCMuAOF4xI7arQoULvXeEg7jJOfcE8hweBUijiivrSpZ7eu8RBSiBfcSaVfwCqSZrIQwBDGglEJZYRViggmAXcxdRhRPhcQ194BGpmncavS_WMcblEx38_vgCbnUHcG_e6_dsTsGX8VqTbhaegms1zeaY_ATJ2Xnj-Ezgtse4
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=International+Conference+on+Industrial+Mechatronics+and+Automation+%28Online%29&rft.atitle=Motorized+buoy+path+following+based+on+improved+LOS+algorithm+and+Aquila+optimizer+algorithm&rft.au=Guan%2C+Fengxu&rft.au=Yang%2C+Zipeng&rft.au=Zhang%2C+Xu&rft.au=Huang%2C+Jiawei&rft.date=2022-08-07&rft.pub=IEEE&rft.eissn=2152-744X&rft.spage=376&rft.epage=381&rft_id=info:doi/10.1109%2FICMA54519.2022.9856219&rft.externalDocID=9856219