Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Thrust Allocation Method for Ship Dynamic Positioning Based on Improved Differential Evolution Algorithm

An evolutionary algorithm and thrust distribution technology, applied in two-dimensional position/channel control and other directions, can solve the problems of neglecting the long-term optimization of the propeller state, falling into the sub-optimal solution of the propeller state, reducing energy consumption efficiency and maneuverability, etc. Improve long-term energy efficiency and maneuverability, address slow convergence, and reduce thrust errors

Active Publication Date: 2021-10-01
HARBIN ENG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The single-step optimization method is flexible and has a wide range of applications, but the variable feasible region for each optimization is very limited, and the long-term optimization of the propeller state is ignored, which may cause the propeller state to fall into a suboptimal solution, reducing energy consumption efficiency and maneuverability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Thrust Allocation Method for Ship Dynamic Positioning Based on Improved Differential Evolution Algorithm
  • A Thrust Allocation Method for Ship Dynamic Positioning Based on Improved Differential Evolution Algorithm
  • A Thrust Allocation Method for Ship Dynamic Positioning Based on Improved Differential Evolution Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0052]The traditional thrust allocation optimization mainly uses optimization algorithms such as pseudo-inverse algorithm, sequence quadratic optimization and heuristic. Optimization may cause the propeller state to fall into a suboptimal solution, reducing energy consumption efficiency and maneuverability.

[0053] In view of the above problems, this application proposes a dynamic positioning ship thrust distribution method based on an improved differential evolution algorithm, which is characterized in that it includes:

[0054] Step 1. Determine the layout of the propulsion device...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a ship dynamic positioning thrust distribution method based on the improved differential evolution algorithm. By determining the layout of the ship's propulsion device, loading the parameters of each propeller, accepting the target control command, and establishing the optimal direction prediction model of the propeller; The obtained global optimal direction is imported into the optimal direction prediction model at the current moment, as the initial population of the optimized and improved differential evolution algorithm, and the global optimal direction of the thruster at the current moment is obtained through the improved differential algorithm; according to the obtained The global optimal solution updates the direction of the thruster in real time, and then obtains the thrust of the thruster through the quadratic programming method. The invention reduces the thrust error in the process of propeller state adjustment, improves the long-term energy consumption efficiency and maneuverability; reduces the search dimension of the differential evolution algorithm, and solves the problem that the differential evolution algorithm has a slow convergence speed and is easy to fall into a local optimal solution ; Make the global optimal solution obtained in continuous time smoother and avoid unnecessary fluctuations.

Description

technical field [0001] The invention belongs to the field of ship motion control, and in particular relates to a ship dynamic positioning thrust distribution method based on an improved differential evolution algorithm. Background technique [0002] The main function of a ship's dynamic positioning system is to keep the ship in a desired position or to drive the ship along a specified trajectory. It mainly calculates the total thrust and torque required by the ship in real time according to the deviation between the current position state of the ship and the expected value and the external environment interference, and then calculates the propulsion of each thruster equipped by the ship according to the thrust distribution logic method. The required thrust and its angle will be generated, and the control command will be transmitted to the propeller, and the propeller will generate the required thrust according to the command to complete the positioning of the ship. Therefor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02
Inventor 丁福光余青青徐玉杰王元慧刘向波王成龙
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com