Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position

ObjectiveTarget tracking is an important application of unmanned surface vehicles (USVs). This study proposes a relative time-varying tracking position (RTTP) strategy to improve the tracking stability and address the problem that the reference trajectory obtained by the relative fixed tracking posi...

Full description

Bibliographic Details
Main Authors: Junjie LIU, Jian WANG, Xing WANG, Jun WANG, Xiaofeng LIANG
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2024-02-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03415
_version_ 1797257546970431488
author Junjie LIU
Jian WANG
Xing WANG
Jun WANG
Xiaofeng LIANG
author_facet Junjie LIU
Jian WANG
Xing WANG
Jun WANG
Xiaofeng LIANG
author_sort Junjie LIU
collection DOAJ
description ObjectiveTarget tracking is an important application of unmanned surface vehicles (USVs). This study proposes a relative time-varying tracking position (RTTP) strategy to improve the tracking stability and address the problem that the reference trajectory obtained by the relative fixed tracking position (RFTP) strategy contains inflection points and leads to tracking instability.MethodsA first-order hysteresis filter is used to process the target USV's heading variation. The time-varying tracking position is then designed according to the filtered data, the target tracking problem is transformed into a trajectory tracking problem and the reference trajectory is obtained. Finally, model predictive control (MPC) is used to achieve the tracking of the target USV.ResultsThe simulation experimental results show that the tracking effect of the USV under the RTTP strategy is more stable with the root mean square error (RMSE) of the tracking distance decreased by 28.06% and the energy consumption reduced by 5.93%. It also has advantages in the smoothness of the control volume.ConclusionsCompared with the traditional RFTP strategy, the proposed RTTP strategy can effectively improve the stability of USV target tracking, giving it practical significance for the target tracking of USVs.
first_indexed 2024-04-24T22:39:22Z
format Article
id doaj.art-9ef2e6d6124443208ba241705d515345
institution Directory Open Access Journal
issn 1673-3185
language English
last_indexed 2024-04-24T22:39:22Z
publishDate 2024-02-01
publisher Editorial Office of Chinese Journal of Ship Research
record_format Article
series Zhongguo Jianchuan Yanjiu
spelling doaj.art-9ef2e6d6124443208ba241705d5153452024-03-19T06:34:50ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852024-02-0119116917710.19693/j.issn.1673-3185.03415ZG3415Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking positionJunjie LIU0Jian WANG1Xing WANG2Jun WANG3Xiaofeng LIANG4Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University, Shanghai 200240, ChinaObjectiveTarget tracking is an important application of unmanned surface vehicles (USVs). This study proposes a relative time-varying tracking position (RTTP) strategy to improve the tracking stability and address the problem that the reference trajectory obtained by the relative fixed tracking position (RFTP) strategy contains inflection points and leads to tracking instability.MethodsA first-order hysteresis filter is used to process the target USV's heading variation. The time-varying tracking position is then designed according to the filtered data, the target tracking problem is transformed into a trajectory tracking problem and the reference trajectory is obtained. Finally, model predictive control (MPC) is used to achieve the tracking of the target USV.ResultsThe simulation experimental results show that the tracking effect of the USV under the RTTP strategy is more stable with the root mean square error (RMSE) of the tracking distance decreased by 28.06% and the energy consumption reduced by 5.93%. It also has advantages in the smoothness of the control volume.ConclusionsCompared with the traditional RFTP strategy, the proposed RTTP strategy can effectively improve the stability of USV target tracking, giving it practical significance for the target tracking of USVs.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03415unmanned surface vehicletarget trackingrelative fixed tracking position strategyrelative time-varying tracking position strategy
spellingShingle Junjie LIU
Jian WANG
Xing WANG
Jun WANG
Xiaofeng LIANG
Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
Zhongguo Jianchuan Yanjiu
unmanned surface vehicle
target tracking
relative fixed tracking position strategy
relative time-varying tracking position strategy
title Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
title_full Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
title_fullStr Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
title_full_unstemmed Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
title_short Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position
title_sort target tracking strategy of unmanned surface vehicle based on relative time varying tracking position
topic unmanned surface vehicle
target tracking
relative fixed tracking position strategy
relative time-varying tracking position strategy
url http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03415
work_keys_str_mv AT junjieliu targettrackingstrategyofunmannedsurfacevehiclebasedonrelativetimevaryingtrackingposition
AT jianwang targettrackingstrategyofunmannedsurfacevehiclebasedonrelativetimevaryingtrackingposition
AT xingwang targettrackingstrategyofunmannedsurfacevehiclebasedonrelativetimevaryingtrackingposition
AT junwang targettrackingstrategyofunmannedsurfacevehiclebasedonrelativetimevaryingtrackingposition
AT xiaofengliang targettrackingstrategyofunmannedsurfacevehiclebasedonrelativetimevaryingtrackingposition