Inland river unmanned ship collision avoidance method based on model predictive control

A model predictive control and unmanned ship technology, applied in two-dimensional position/channel control and other directions, to achieve simple principles and calculations, improve navigation safety, and facilitate implementation

Active Publication Date: 2022-04-12
JIANGSU UNIV OF SCI & TECH
View PDF12 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In order to overcome the deficiencies in the prior art, the purpose of the invention is to autonomously avoid collisions for unmanned ships when navigating on inland waterways with narrow waterways, many cross-river bridges, high navigation density and high water flow velocity in some river sections. problem, a general and easy-to-implement collision avoidance method based on model predictive control is proposed

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
  • Inland river unmanned ship collision avoidance method based on model predictive control
  • Inland river unmanned ship collision avoidance method based on model predictive control
  • Inland river unmanned ship collision avoidance method based on model predictive control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0042] A kind of inland river unmanned vessel collision avoidance method based on model predictive control described in the present invention is used to solve the autonomous collision avoidance problem of unmanned vessel when navigating in inland river complex waterway environment, the flow chart of algorithm is as follows figure 1 As shown, the specific implementation process is:

[0043] S1, using the improved Bumper model whose size changes with the speed of unmanned ships or obstacles to model the safe area of ​​unmanned ships and dynamic obstacles, the specific method is:

[0044] When the speed of the USV or the obstacle ship is 0, the size of the safe area is selected as a circular area with a radius of B=0.8L in this example, where L is the length of the ship, and the value is 5m;

[0045] When the speed of the USV or obstacle ship reach...

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 invention discloses an inland river unmanned ship collision avoidance method based on model predictive control. The method belongs to the field of unmanned ship path planning, and specifically comprises the following steps: 1, modeling a safe area of an unmanned ship and a dynamic obstacle; 2, converting an optimal control problem of collision avoidance of the unmanned ship into a nonlinear programming problem; 3, constructing a cost function of the control target, the speed and the speed increment; 4, constructing a cost function for evaluating the unmanned ship collision avoidance control rule conformity; 5, taking the solved state of the unmanned ship without the collision risk at the next moment as the state of the unmanned ship at the current moment; and 6, finally realizing autonomous collision avoidance of the unmanned ship to dynamic and static obstacles. According to the method, the characteristic that constraints in multiple aspects can be considered through model predictive control is utilized, the influence of factors such as inland river navigation rules, unmanned ship kinematics constraints and channel conditions is comprehensively considered, rolling optimization is continuously conducted on the unmanned ship, accordingly, a path without collision risks is calculated, and autonomous collision avoidance of the unmanned ship to dynamic and static obstacles is achieved.

Description

technical field [0001] The invention belongs to the field of path planning of unmanned ships, and relates to a collision avoidance method for inland river unmanned ships based on model predictive control. Background technique [0002] Unmanned surface vehicle (USV) is an intelligent robot that can navigate autonomously on the water surface and can perform many dangerous and time-consuming tasks. In recent years, with the continuous development of computer technology, perception technology, and artificial intelligence technology, As well as the strong demand from business, scientific research and environmental protection, the related technology of unmanned ships has become a research hotspot in the field of robotics. [0003] Data show that when ships sail on the water, most accidents are caused by human errors. Therefore, having a good collision avoidance function not only reflects the level of intelligence of unmanned ships to a certain extent, but also the realization of u...

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 Applications(China)
IPC IPC(8): G05D1/02
Inventor 袁伟高鹏程齐亮苏贞俞孟蕻
Owner JIANGSU UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products