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Ship automatic berthing nonlinear neural network control method and system

A neural network control and neural network technology, applied in the control method and system field of ship automatic berthing, can solve the problems of affecting the controller effect, long calculation time, and large calculation load, so as to optimize effective sample data and reduce extraction frequency , the effect of reducing the number of

Inactive Publication Date: 2019-10-11
SHANDONG JIAOTONG UNIV
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Problems solved by technology

However, in engineering practice, there are many calculation parameters, large calculation load, and long calculation time, which directly affect the effect of the controller, and even lead to uncontrolled situations.

Method used

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  • Ship automatic berthing nonlinear neural network control method and system
  • Ship automatic berthing nonlinear neural network control method and system
  • Ship automatic berthing nonlinear neural network control method and system

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Embodiment Construction

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0061] see Figure 1-6 The present invention provides a technical solution: a control method and equipment for automatic berthing of ships using big data of ship navigation, including: platform / mother ship control computer 1, power supply module 2, information transmission module 3, display module 4, Manual control module 5, shipboard industrial computer 6. The power supply module 2, the information transmission module 3, the display module 4 and the manual c...

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Abstract

The invention discloses a ship automatic berthing nonlinear neural network control method. The method comprises the following steps: performing a large amount of successful berthing by utilizing ship,acquiring training data, designing a controller by utilizing three-layers of nonlinear neural network, and training network weight and deviation by utilizing a BP algorithm; and realizing the outputof the ship automatic berthing control under different initial input conditions by utilizing a generalization performance of the ANN. The remote monitoring and control of the unmanned ship can be realized through the technical scheme provided by the invention; the provided automatic berthing control method is independent of a virtual navigation route with uncertain element; in the actual control process, the computation load is reduced, an ideal control effect is reached when the control instantaneity is improved, and the voyage practice requirement is satisfied.

Description

technical field [0001] The invention relates to the technical field of unmanned ship control, in particular to a control method and system for automatic berthing of ships by using big data on ship navigation. Background technique [0002] With the rapid development of robot technology, modern communication technology, computer technology, data mining technology and navigation technology, unmanned ship technology is gradually applied to sea surface environment monitoring, marine meteorological forecast, communication relay, maritime accident search and rescue, maritime traffic guidance, Assist in the maintenance of maritime traffic order, near- and long-range target recognition and tracking, and automatic driving of unmanned commercial ships. At present, the operation methods of unmanned ships are mainly divided into two forms: fully automatic operation and manual remote control operation, or manual control and autonomous navigation dual-mode control. [0003] With the devel...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 张强吕蒙蒙张少君宋磊胡宴才张树豪吴恒涛
Owner SHANDONG JIAOTONG UNIV
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