Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Xianku ZHANG"'
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 3-14 (2024)
This paper reviews the research status of intelligent ship berthing technology at home and abroad in recent years. The hotspots and applications of berthing technology are summarized in the three aspects of berthing mode, mathematical model and contr
Externí odkaz:
https://doaj.org/article/7542a86f13db48049d6e594d3e8e1b7d
Autor:
Xianku ZHANG, Haochen HONG
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 84-89 (2024)
ObjectiveIn order to solve such problems as the large rudder angle output, high steering frequency, slow control speed and low control accuracy of controllers when ships sail at sea, a third-order closed-loop gain shaping algorithm is used to design
Externí odkaz:
https://doaj.org/article/ed74474b54304fc3a433d1585b2e184f
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1818 (2024)
This paper explores the cooperative control of unmanned surface vessels (USVs) and unmanned aerial vehicles (UAVs) in maritime rescue and coastal surveillance. The USV-UAV system faces challenges of disturbances and substantial inertia-induced oversh
Externí odkaz:
https://doaj.org/article/f59ccfce0ab54846a9e922e4e4d21b6b
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 6, p 901 (2024)
Unmanned underwater vehicles (UUVs) possess impressive maneuverability and versatility, but controlling them during trajectory tracking can be challenging due to their susceptibility to external disturbances and perturbations in their model parameter
Externí odkaz:
https://doaj.org/article/ad6c88dcb58847b498aeb6572dfa6c69
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 1, Pp 116-123 (2023)
ObjectiveA robust adaptive course-keeping control algorithm is designed to deal with the course-keeping problem for under-actuated ships with rudder faults, gain uncertainty and marine disturbances. MethodsBy combining the robust neural damping techn
Externí odkaz:
https://doaj.org/article/da1b186af77b4016854a84b37853ee14
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 752 (2024)
To develop a simplified and highly accurate ship motion model, this study thoroughly investigated the relationship between the dimensionless cross-flow coefficient and the four hydrodynamic derivatives of the Norrbin model. Eight different types of s
Externí odkaz:
https://doaj.org/article/93539fca87854ad0a27157a904f4d672
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 351 (2024)
In order to solve the problem of the dynamic positioning control of large ships in rough sea and to meet the need for fixed-point operations, this paper proposes a dynamic positioning controller that can effectively achieve large ships’ fixed-point
Externí odkaz:
https://doaj.org/article/5777cb5bc13b4232931c4d7d7c510080
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1554 (2023)
In this study, an intelligent hybrid algorithm based on deep-reinforcement learning (DRL) is proposed to achieve autonomous navigation and intelligent collision avoidance for a smart autonomous marine surface vessel (SMASV). First, the kinematic mode
Externí odkaz:
https://doaj.org/article/42eae8c047af4529bea7a416f94ac130
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1572 (2023)
In order to establish a sparse and accurate ship motion prediction model, a novel Bayesian probability prediction model based on relevance vector machine (RVM) was proposed for nonparametric modeling. The sparsity, effectiveness, and generalization o
Externí odkaz:
https://doaj.org/article/38446fa5385441e49335d6d21d553a7f
Publikováno v:
Systems Science & Control Engineering, Vol 0, Iss 0, Pp 1-10 (2021)
This note deals with the leader-following formation problem for multiple underactuated ships in the presence of structure uncertainties and the time-varying parameterized disturbances. Following this ideology, a novel robust fuzzy dynamic surface for
Externí odkaz:
https://doaj.org/article/ce65af0bc86e47e38a1beef1145fee45