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Experimental results of the cooperative operation of autonomous surface vehicles navigating in complex marine environment
Experimental results are presented of the cooperative operation of two maritime autonomous surface vehicles (ASVs) executing a pre-defined task in a complex marine environment. The ASVs are equipped with algorithms for motion-planning, path-following and motion control, where the motion-planning alg...
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Published in: | Ocean engineering 2021-01, Vol.219, p.108256, Article 108256 |
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description | Experimental results are presented of the cooperative operation of two maritime autonomous surface vehicles (ASVs) executing a pre-defined task in a complex marine environment. The ASVs are equipped with algorithms for motion-planning, path-following and motion control, where the motion-planning algorithm is based in the angle-guidance fast marching square method, the path-planning module is based in the vector-field path-following method and the controller is a PID. The ASVs are two self-propelled models of 2.5 m and 3.2 m length instrumented with several sensors, actuators and communication unit, such as, inertial measurement units, Global positioning system, anemometers, accelerometers, inclinometers, DC motors and Wi-Fi communication. To monitor and command the ASVs, a real-time program was coded in LabVIEW 2018®. Finally, in order to validate the developed system, experimental tests were carried out in an open-door pool with low wind conditions, and from these experiments good capabilities of the system were found.
•Experimental results are presented of the operation of two autonomous vessels executing a pre-defined task with obstacles.•The models incorporate modules for motion-planning, path-following and control.•The motion-planning is based in the angle-guidance fast marching square method.•The guidance module is based in vector-field path-following.•The experiments demonstrate that the vessels performs as expected. |
doi_str_mv | 10.1016/j.oceaneng.2020.108256 |
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•Experimental results are presented of the operation of two autonomous vessels executing a pre-defined task with obstacles.•The models incorporate modules for motion-planning, path-following and control.•The motion-planning is based in the angle-guidance fast marching square method.•The guidance module is based in vector-field path-following.•The experiments demonstrate that the vessels performs as expected.</description><identifier>ISSN: 0029-8018</identifier><identifier>EISSN: 1873-5258</identifier><identifier>DOI: 10.1016/j.oceaneng.2020.108256</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Autonomous surface vehicles ; Cooperative algorithm ; Experimental validation ; Model tests ; Motion planning</subject><ispartof>Ocean engineering, 2021-01, Vol.219, p.108256, Article 108256</ispartof><rights>2020 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c312t-b91fd2b949fa0b13ce1a8c65338f428eb8b1348bf624b3aa70da3a4e95f6ed373</citedby><cites>FETCH-LOGICAL-c312t-b91fd2b949fa0b13ce1a8c65338f428eb8b1348bf624b3aa70da3a4e95f6ed373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hinostroza, M.A.</creatorcontrib><creatorcontrib>Xu, Haitong</creatorcontrib><creatorcontrib>Guedes Soares, C.</creatorcontrib><title>Experimental results of the cooperative operation of autonomous surface vehicles navigating in complex marine environment</title><title>Ocean engineering</title><description>Experimental results are presented of the cooperative operation of two maritime autonomous surface vehicles (ASVs) executing a pre-defined task in a complex marine environment. The ASVs are equipped with algorithms for motion-planning, path-following and motion control, where the motion-planning algorithm is based in the angle-guidance fast marching square method, the path-planning module is based in the vector-field path-following method and the controller is a PID. The ASVs are two self-propelled models of 2.5 m and 3.2 m length instrumented with several sensors, actuators and communication unit, such as, inertial measurement units, Global positioning system, anemometers, accelerometers, inclinometers, DC motors and Wi-Fi communication. To monitor and command the ASVs, a real-time program was coded in LabVIEW 2018®. Finally, in order to validate the developed system, experimental tests were carried out in an open-door pool with low wind conditions, and from these experiments good capabilities of the system were found.
•Experimental results are presented of the operation of two autonomous vessels executing a pre-defined task with obstacles.•The models incorporate modules for motion-planning, path-following and control.•The motion-planning is based in the angle-guidance fast marching square method.•The guidance module is based in vector-field path-following.•The experiments demonstrate that the vessels performs as expected.</description><subject>Autonomous surface vehicles</subject><subject>Cooperative algorithm</subject><subject>Experimental validation</subject><subject>Model tests</subject><subject>Motion planning</subject><issn>0029-8018</issn><issn>1873-5258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFUMtOwzAQtBBIlMIvIP9Aih-J69xAVaFIlbjA2XKcdesqsSs7idq_J1HLmdOuZnZmdwehZ0oWlFDxclgEA9qD3y0YYRMoWSFu0IzKJc8KVshbNCOElZkkVN6jh5QOhBAhCJ-h8_p0hOha8J1ucITUN13CweJuD9iEMJK6cwPgaxf8ROq-Cz60oU849dFqA3iAvTMNJOz14HbjpN9h50eL9tjACbc6Og8Y_OBi8NO6R3RndZPg6Vrn6Od9_b3aZNuvj8_V2zYznLIuq0pqa1aVeWk1qSg3QLU0ouBc2pxJqOQI5rKyguUV13pJas11DmVhBdR8yedIXHxNDClFsOo4_qvjWVGipgDVQf0FqKYA1SXAUfh6EcJ43eAgqmQceAO1i2A6VQf3n8UvUAmBgg</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Hinostroza, M.A.</creator><creator>Xu, Haitong</creator><creator>Guedes Soares, C.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210101</creationdate><title>Experimental results of the cooperative operation of autonomous surface vehicles navigating in complex marine environment</title><author>Hinostroza, M.A. ; Xu, Haitong ; Guedes Soares, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c312t-b91fd2b949fa0b13ce1a8c65338f428eb8b1348bf624b3aa70da3a4e95f6ed373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Autonomous surface vehicles</topic><topic>Cooperative algorithm</topic><topic>Experimental validation</topic><topic>Model tests</topic><topic>Motion planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hinostroza, M.A.</creatorcontrib><creatorcontrib>Xu, Haitong</creatorcontrib><creatorcontrib>Guedes Soares, C.</creatorcontrib><collection>CrossRef</collection><jtitle>Ocean engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hinostroza, M.A.</au><au>Xu, Haitong</au><au>Guedes Soares, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Experimental results of the cooperative operation of autonomous surface vehicles navigating in complex marine environment</atitle><jtitle>Ocean engineering</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>219</volume><spage>108256</spage><pages>108256-</pages><artnum>108256</artnum><issn>0029-8018</issn><eissn>1873-5258</eissn><abstract>Experimental results are presented of the cooperative operation of two maritime autonomous surface vehicles (ASVs) executing a pre-defined task in a complex marine environment. The ASVs are equipped with algorithms for motion-planning, path-following and motion control, where the motion-planning algorithm is based in the angle-guidance fast marching square method, the path-planning module is based in the vector-field path-following method and the controller is a PID. The ASVs are two self-propelled models of 2.5 m and 3.2 m length instrumented with several sensors, actuators and communication unit, such as, inertial measurement units, Global positioning system, anemometers, accelerometers, inclinometers, DC motors and Wi-Fi communication. To monitor and command the ASVs, a real-time program was coded in LabVIEW 2018®. Finally, in order to validate the developed system, experimental tests were carried out in an open-door pool with low wind conditions, and from these experiments good capabilities of the system were found.
•Experimental results are presented of the operation of two autonomous vessels executing a pre-defined task with obstacles.•The models incorporate modules for motion-planning, path-following and control.•The motion-planning is based in the angle-guidance fast marching square method.•The guidance module is based in vector-field path-following.•The experiments demonstrate that the vessels performs as expected.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.oceaneng.2020.108256</doi></addata></record> |
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subjects | Autonomous surface vehicles Cooperative algorithm Experimental validation Model tests Motion planning |
title | Experimental results of the cooperative operation of autonomous surface vehicles navigating in complex marine environment |
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