Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Diju Gao"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 162, Iss , Pp 110312- (2024)
This paper addresses the energy management problem of hybrid ships by proposing an event-triggered model predictive control (ET-MPC) method. The novelty in this work lies in the establishment of an event-triggered mechanism and a state prediction mod
Externí odkaz:
https://doaj.org/article/aaca63c0e0d54acd8e3c19c202e2e03b
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 3, Pp 86-93 (2023)
ObjectivesIn this study, an adaptive non-singular fast terminal sliding mode rudder roll stabilization controller based on a multiple-layer recurrent neural network ( MLRNN) is proposed for the rudder roll stabilization control of an underactuated su
Externí odkaz:
https://doaj.org/article/4e0c25ed90f745a9a948a1b13b870ead
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 3, Pp 840-852 (2022)
Abstract In recent years, with the development of battery technology, hybrid electric ship (HES), as a promising solution to reduce the fuel consumption and emissions, has become a research hotspot. However, frequent use of the battery will accelerat
Externí odkaz:
https://doaj.org/article/54aeceea1d614167af2aa8a033270db4
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 9, p 1834 (2023)
Reducing energy consumption and carbon emissions from ships is a major concern. The development of hybrid technologies offers a new direction for the rational distribution of energy. Therefore, this paper establishes a torque model for internal combu
Externí odkaz:
https://doaj.org/article/058813c423ba44d0b9f5ffa9d96559b7
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 16, Iss 2, Pp 194-202 (2021)
ObjectivesTo address the impact of non-zero sideslip angle and input saturation on the heading control of a surface ship, a method based on a backstepping control algorithm is proposed.Methods The actual sideslip angle is obtained through the relativ
Externí odkaz:
https://doaj.org/article/7a90cd1dee2a4dcda6bfca27060b0cad
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 4, p 687 (2023)
Aiming at the problem that the path search rules in the traditional path planning methods are divorced from the actual maneuverability of an unmanned surface vehicle (USV), a motion planning method of state prediction rapidly exploring random tree (s
Externí odkaz:
https://doaj.org/article/6bdef464db074425a8122a5ef39f7747
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 2, p 445 (2023)
In order to realize accurate and fast firefighting at sea, a control method for water cannons of unmanned fireboats considering wind and ship motion disturbances is presented. This method combines information fusion, computer vision, and prediction t
Externí odkaz:
https://doaj.org/article/b98dba60fa65465bb1dcb906cfac8fd0
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 11, p 1746 (2022)
Optimizing the operational performance of green ships can further improve the energy saving and emission reduction effect of ships, and speed optimization is one of the more widely used and effective measures. It is a new challenge for the shipping i
Externí odkaz:
https://doaj.org/article/4012dc8ad09640bd83737db01692c83b
Publikováno v:
IEEE Access, Vol 7, Pp 135247-135255 (2019)
The azimuth thruster is widely used in electric propulsion ships due to its excellent performance. The thrust allocation (TA) method of multi-azimuth thruster is the key technology in ship motion control. The purpose of TA is to accurately distribute
Externí odkaz:
https://doaj.org/article/ba70709b132944ee905fe4217d94e418
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 901 (2022)
A new method is proposed for the dynamic obstacle avoidance problem of unmanned surface vehicles (USVs) under the international regulations for preventing collisions at sea (COLREGs), which applies the particle swarm optimization algorithm (PSO) to t
Externí odkaz:
https://doaj.org/article/814e61432b9446e6a6c116ec74067004