Adaptive neural network controller of bridge crane and design method thereof

An adaptive controller and neural network technology, applied in the direction of adaptive control, general control system, control/adjustment system, etc., can solve problems such as large swing angle changes, static error calculation amount of adaptive method, slow response speed, etc.

Pending Publication Date: 2018-09-18
QUFU NORMAL UNIV
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The control difficulties of bridge cranes mainly lie in the operation positioning control of the trolley and the swing suppression control of the load. Most of the existing technologies are located in the anti-swing control research of the load, and the methods used have many deficiencies, such as the input setting method to eliminate the swing. The swing angle changes greatly; the closed-

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 neural network controller of bridge crane and design method thereof
  • Adaptive neural network controller of bridge crane and design method thereof
  • Adaptive neural network controller of bridge crane and design method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0061] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0062] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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 adaptive neural network controller of a bridge crane. A dynamic model of a bridge crane is established; linear processing is carried out on the dynamic model of the bridge crane; an external disturbance factor compensation item d is introduced to obtain a linear model of the bridge crane; and an adaptive neural network controller including a trolley controller and a loadcontroller is obtained based on a RBF neural network design. According to the invention, on the basis of the neural network adaptive method, the double-feedback adaptive controller is designed for trolley positioning and load oscillation prevention of the crane; and on the basis of the self-learning method, random approximation of non-linear parts like the model error and the external interference during the crane modeling process is realized, so that stability control is realized.

Description

technical field [0001] The invention relates to a neural network adaptive controller of an overhead crane and a design method thereof. Background technique [0002] With the rapid development of my country's transportation industry and intelligent manufacturing industry, bridge cranes (also known as bridge cranes) have become indispensable key equipment in modern industrial automation production. The characteristics of high efficiency and simple structure make the application range of overhead cranes more and more extensive. At present, in order to meet the needs of global trade integration, overhead cranes are developing towards faster and faster running speeds and higher and higher lifting heights, and are widely used in various sectors of national economic development such as docks and construction sites and field. [0003] The control difficulties of bridge cranes mainly lie in the operation positioning control of the trolley and the swing suppression control of the loa...

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): G05B13/04
CPCG05B13/042
Inventor 黄金明武玉强
Owner QUFU NORMAL UNIV
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