Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Double-crane system variable amplitude angle response modeling algorithm and random response domain prediction method

A double-crane, modular algorithm technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as difficulty in establishing response domains and predictions in response models

Active Publication Date: 2017-05-24
HEFEI UNIV OF TECH
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a double-crane system variable-amplitude response modeling algorithm and a random response domain prediction method to solve the difficulty in establishing a response model under deterministic parameters in the variable-amplitude motion of the double-truck crane system in the prior art and the random The problem that the response domain under the parameters is difficult to predict

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
  • Double-crane system variable amplitude angle response modeling algorithm and random response domain prediction method
  • Double-crane system variable amplitude angle response modeling algorithm and random response domain prediction method
  • Double-crane system variable amplitude angle response modeling algorithm and random response domain prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0089] see figure 2 , the calculation method of the luffing angle response model under the luffing motion of the double truck crane system is carried out as follows:

[0090] Step 1: Establish the geometric model and set the coordinate system, and give the position vector of each point.

[0091] Boom A 1 B 1 Articulation point A with turntable 1 of the first truck crane system 1 The position vector in the base coordinate system {B} is:

[0092]

[0093] Boom A 2 B 2 Articulation point A with turntable 2 of the second truck crane system 2 The position vector in the base coordinate system {B} is:

[0094]

[0095] Boom A 1 B 1 with sling B 1 C 1 hinge point B 1 The position vector in the base coordinate system {B} is:

[0096]

[0097] Boom A 2 B 2 with sling B 2 C 2 hinge point B 2 The position vector in the base coordinate system {B} is:

[0098]

[0099] Sling B 1 C 1 with load C 1 C 2 hinge point C 1 The position vector in the moving coor...

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 a double-crane system variable amplitude angle response modeling algorithm and a random response domain prediction method. The variable amplitude angle response modeling algorithm includes the steps: 1 building a system geometric model and giving coordinates of points; 2 building a system constraint equation; 3 building a variable amplitude angle response model according to the system constraint equation. The random response domain prediction method includes the steps: 1 describing uncertainty of a load according to a random parameter model; 2 building a random variable amplitude angle response equivalent equation based on the variable amplitude angle response model and the random parameter model; 3 proposing a perturbation random composite function method according to composite function characteristics and a random perturbation method, and solving random variable amplitude angle response expression; 4 further solving variable amplitude angle response expectation and variance. The prediction problem of a lower variable amplitude angle response domain with random parameters can be solved, the algorithm and the method have the advantages of high speed and precision, and system operation reliability is ensured.

Description

technical field [0001] The invention relates to the technical field of reliability, in particular to a modeling algorithm for a variable amplitude angle response of a double-crane system and a prediction method for a random response domain. Background technique [0002] Truck crane is one of the important tools to realize the mechanization of material handling, and it is widely used in large-scale heavy-duty lifting operations. In recent years, with the rapid development of a single crane in terms of structure and control, it has become possible to combine two truck crane systems for hoisting operations. However, this also increases the complexity and danger of the lifting operation. According to GB6067.1-2010 "Safety Regulations for Hoisting Machinery", "When special circumstances require two or more cranes to lift heavy objects together, the lifting and operation of each crane should be synchronized." The premise and key of this kind of problem is to first determine the ...

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): G06F19/00
CPCG16Z99/00
Inventor 訾斌周斌钱森李元
Owner HEFEI UNIV OF 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
Eureka Blog
Learn More
PatSnap group products