A review presents the state-of-the-art path-following control systems for maritime autonomous surface ships,where the special focus is placed on the guidance subsystem and control subsystem.The path following control ...A review presents the state-of-the-art path-following control systems for maritime autonomous surface ships,where the special focus is placed on the guidance subsystem and control subsystem.The path following control system is one of the basic requirements for autonomous ships since it guarantees that the ship can track the predefined path with small crosstrack errors.The path following problem is firstly defined,and the cross-track error dynamics are derived from the kinematic equations of marine surface ships.The classical guidance laws are introduced,and the governing equations are also presented in this paper.A review of the guidance laws and controllers for the maritime autonomous surface ships has been carried out based on relevant journal and conference papers.Several important properties and characteristics,such as control structure,guidance law,control method,stability,environmental disturbance and vessel dynamics,are defined for the comparative analysis.Finally,the summary and a discussion on the most used technologies for the path following control of marine autonomous surface ships are presented and highlighted.展开更多
Autonomous surface ships have become increasingly interesting for commercial maritime sectors.Before deep learning(DL)was proposed,surface ship autonomy was mostly model-based.The development of artificial intelligenc...Autonomous surface ships have become increasingly interesting for commercial maritime sectors.Before deep learning(DL)was proposed,surface ship autonomy was mostly model-based.The development of artificial intelligence(AI)has prompted new challenges in the maritime industry.A detailed literature study and examination of DL applications in autonomous surface ships are still missing.Thus,this article reviews the current progress and applications of DL in the field of ship autonomy.The history of different DL methods and their application in autonomous surface ships is briefly outlined.Then,the previously published works studying DL methods in ship autonomy have been categorized into four groups,i.e.,control systems,ship navigation,monitoring system,and transportation and logistics.The state-of-the-art of this review paper majorly lies in presenting the existing limitations and innovations of different applications.Subsequently,the current issues and challenges for DL application in autonomous surface ships are discussed.In addition,we have proposed a comparative study of traditional and DL algorithms in ship autonomy and also provided the future research scope as well.展开更多
文摘A review presents the state-of-the-art path-following control systems for maritime autonomous surface ships,where the special focus is placed on the guidance subsystem and control subsystem.The path following control system is one of the basic requirements for autonomous ships since it guarantees that the ship can track the predefined path with small crosstrack errors.The path following problem is firstly defined,and the cross-track error dynamics are derived from the kinematic equations of marine surface ships.The classical guidance laws are introduced,and the governing equations are also presented in this paper.A review of the guidance laws and controllers for the maritime autonomous surface ships has been carried out based on relevant journal and conference papers.Several important properties and characteristics,such as control structure,guidance law,control method,stability,environmental disturbance and vessel dynamics,are defined for the comparative analysis.Finally,the summary and a discussion on the most used technologies for the path following control of marine autonomous surface ships are presented and highlighted.
基金This work was financially supported by the National Natural Science Foundation of China(Grant No.52101388).
文摘Autonomous surface ships have become increasingly interesting for commercial maritime sectors.Before deep learning(DL)was proposed,surface ship autonomy was mostly model-based.The development of artificial intelligence(AI)has prompted new challenges in the maritime industry.A detailed literature study and examination of DL applications in autonomous surface ships are still missing.Thus,this article reviews the current progress and applications of DL in the field of ship autonomy.The history of different DL methods and their application in autonomous surface ships is briefly outlined.Then,the previously published works studying DL methods in ship autonomy have been categorized into four groups,i.e.,control systems,ship navigation,monitoring system,and transportation and logistics.The state-of-the-art of this review paper majorly lies in presenting the existing limitations and innovations of different applications.Subsequently,the current issues and challenges for DL application in autonomous surface ships are discussed.In addition,we have proposed a comparative study of traditional and DL algorithms in ship autonomy and also provided the future research scope as well.
