Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader
This paper investigates the coordinated path following of multiple marine vessels with speed saturation. Based on virtual leader strategy, the authors show how the neural dynamic model and passivity-based techniques are brought together to yield a distributed control strategy. The desired path follo...
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2016-01-01
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2016/6054791 |
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doaj-2450fa4ae91e45559e84ad47b3c6d4c22020-11-25T00:24:42ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732016-01-01201610.1155/2016/60547916054791Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual LeaderMingyu Fu0Yujie Xu1College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaCollege of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaThis paper investigates the coordinated path following of multiple marine vessels with speed saturation. Based on virtual leader strategy, the authors show how the neural dynamic model and passivity-based techniques are brought together to yield a distributed control strategy. The desired path following is achieved by means of a virtual dynamic leader, whose controller is designed based on the biological neural shunting model. Utilizing the characteristic of bounded and smooth output of neural dynamic model, the tracking error jump is avoided and speed saturation problem is solved in straight path. Meanwhile, the coordinated path following of multiple vessels with a desired spatial formation is achieved through defining the formation reference point. The consensus of formation reference point is realized by using the synchronization controller based on passivity. Finally, simulation results validate the effectiveness of the proposed coordinated algorithm.http://dx.doi.org/10.1155/2016/6054791 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingyu Fu Yujie Xu |
spellingShingle |
Mingyu Fu Yujie Xu Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader Computational Intelligence and Neuroscience |
author_facet |
Mingyu Fu Yujie Xu |
author_sort |
Mingyu Fu |
title |
Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader |
title_short |
Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader |
title_full |
Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader |
title_fullStr |
Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader |
title_full_unstemmed |
Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader |
title_sort |
bioinspired coordinated path following for vessels with speed saturation based on virtual leader |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2016-01-01 |
description |
This paper investigates the coordinated path following of multiple marine vessels with speed saturation. Based on virtual leader strategy, the authors show how the neural dynamic model and passivity-based techniques are brought together to yield a distributed control strategy. The desired path following is achieved by means of a virtual dynamic leader, whose controller is designed based on the biological neural shunting model. Utilizing the characteristic of bounded and smooth output of neural dynamic model, the tracking error jump is avoided and speed saturation problem is solved in straight path. Meanwhile, the coordinated path following of multiple vessels with a desired spatial formation is achieved through defining the formation reference point. The consensus of formation reference point is realized by using the synchronization controller based on passivity. Finally, simulation results validate the effectiveness of the proposed coordinated algorithm. |
url |
http://dx.doi.org/10.1155/2016/6054791 |
work_keys_str_mv |
AT mingyufu bioinspiredcoordinatedpathfollowingforvesselswithspeedsaturationbasedonvirtualleader AT yujiexu bioinspiredcoordinatedpathfollowingforvesselswithspeedsaturationbasedonvirtualleader |
_version_ |
1725352273253498880 |