Adaptive fuzzy optical control method and system for non-linear discrete system of ship course

An adaptive fuzzy and nonlinear control technology, applied in adaptive control, general control system, control/regulation system, etc., can solve the problems of controller energy consumption, high cost of use, difficult engineering implementation, slow tracking speed, etc.

Active Publication Date: 2019-01-11
DALIAN MARITIME UNIVERSITY
View PDF6 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in most of the current researches, the design method of ship course trajectory tracking is simple and the tracking speed is slo

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
  • Adaptive fuzzy optical control method and system for non-linear discrete system of ship course
  • Adaptive fuzzy optical control method and system for non-linear discrete system of ship course
  • Adaptive fuzzy optical control method and system for non-linear discrete system of ship course

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0121] Based on the above method, a computer simulation is carried out with an actual ship as an example. Known: the mathematical model parameter a of a discrete nonlinear system of a certain ship course 1 =1,a 2 = 30, K = 0.2, T = 64, the designed parameter γ = 0.05, γ c =0.01, β=0.05. Verify the effectiveness of the control algorithm in this paper. The tracking signal selects a mathematical model that can represent actual performance requirements:

[0122] φ m (k+2)+0.1φ m (k+1)+0.0025φ m (k) = 0.0025φ r (k) (15)

[0123] Where Ideal system performance for ship heading, It is a processed input signal with a value of 0°~30° and a period of 500s.

[0124] The adaptive fuzzy optimal control method for the nonlinear discrete system of ship course, the simulation results are as follows image 3 Shown. It can be seen that with the adaptive fuzzy optimal algorithm designed by this method, the control system quickly obtains the desired system output and has good tracking performance. ...

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 provides an adaptive fuzzy optical control method and system for a non-linear discrete system of a ship course, and belongs to the technical field of automatic ship control. Aiming at the non-linear discrete system of the ship course, the method uses a fuzzy optical learning adaptive algorithm to solve the optical control problem of the discrete non-linear system of the ship course,effectively reduce energy consumption of the controller, reduce abrasion of a steering engine, and improve course tracking speed and accuracy.

Description

Technical field [0001] The present invention relates to the technical field of ship automatic control, in particular, to an adaptive fuzzy optimal control method and system for a nonlinear discrete system of ship heading. Background technique [0002] Ship motion has the characteristics of large time lag, large inertia, and nonlinearity. Changes in speed and loading have caused parameter perturbation of the control model. Changes in navigation conditions, interference of environmental parameters, and inaccuracy of measurement all make the ship heading. Uncertainty in the control system. In response to the problems caused by these nonlinear uncertainties, intelligent algorithms have been continuously applied to the field of ship heading control, such as adaptive control, robust control, fuzzy adaptive control, iterative sliding mode control, and minimum parameter learning methods have been applied to ship heading control successively system. However, most of the current research...

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
IPC IPC(8): G05B13/04G05B13/02
CPCG05B13/0275G05B13/042
Inventor 李铁山朱丽燕单麒赫陈俊龙左毅
Owner DALIAN MARITIME UNIVERSITY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap