Bridge crane support vector machine modeling method for protruding ring crossing operation rna-ga

An RNA-GA, support vector machine technology, applied in the direction of walking bridge cranes, cranes, geometric CAD, etc., can solve the problems of low precision and complex modeling methods.

Active Publication Date: 2019-04-12
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the shortcomings of the traditional bridge crane mechanism modeling method, which is complex and not high in precision, the present invention proposes a support vector machine modeling method for bridge cranes with protruding ring cross operation RNA-GA, and uses protruding ring cross operation RNA-GA It is used to obtain the estimated value of the least squares support vector machine (LSSVM) model parameters, and establish the position least squares support vector machine (LSSVM) model and swing angle least squares support vector machine (LSSVM) model of the overhead crane. The built model can well reflect the nonlinear characteristics of the actual system

Method used

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  • Bridge crane support vector machine modeling method for protruding ring crossing operation rna-ga
  • Bridge crane support vector machine modeling method for protruding ring crossing operation rna-ga
  • Bridge crane support vector machine modeling method for protruding ring crossing operation rna-ga

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Embodiment

[0092] In this embodiment, the platform can be simplified as a two-dimensional overhead crane system, see figure 1 Crane system model diagram, the steps of the RNA-GA bridge crane genetic algorithm for the protruding ring cross operation are as follows:

[0093] Step 1: Obtain the horizontal direction control input f of the two-dimensional bridge crane system through the platform x , the position x in the horizontal direction and the swing angle θ x Output sampled data. The parameters of the bridge crane are set as trolley mass M=24.6kg, load mass m=5.4kg, rope length fixed l=0.7m, gravitational acceleration g=9.8m / s 2 . In the process of collecting experimental data, the open-loop state was kept, and the sampling period was 1 ms. A total of 5 sets of data were collected, each with 11,000 data, and 1,100 data were randomly selected from each of the 5 sets of data, of which 550 experimental data were used as training samples, and the rest are testing samples.

[0094] Step...

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Abstract

The invention discloses a modeling method for a support vector machine for a bridge crane through bulged ring crossover operation RNA-GA, and belongs to the field of intelligent modeling. The modelingmethod comprises the following steps: 1) acquiring the sampling data input and output by a bridge crane system through an experiment or field acquisition, and taking the error square sum of the expected output and the actual output as the target function of the RNA-GA; 2) abstracting out the modeling method for the support vector machine for the bridge crane through the bulged ring crossover operation RNA-GA through the enlightening of the molecular bulged ring structure of RNA; 3) setting the running parameters of an algorithm; and 4) running the bulged ring crossover RNA-GA to acquire the optimal values of the parameter estimation of a support vector machine model with the least square estimation model for the position of the bridge crane and a support vector machine model with the least square estimation model for the oscillating angle of the bridge crane separately, and substituting the optimal values into the support vector machine models with the least square estimation models to form a bridge crane model. The modeling method for the support vector machine has the advantages of being high in convergence rate, high in accuracy, and the like, and is also applicable to modelingfor other complex systems.

Description

technical field [0001] The invention relates to an intelligent optimization modeling method, in particular to a support vector machine modeling method for a bridge crane operating RNA-GA with a protruding ring crossover. Background technique [0002] Bridge crane is a kind of large-scale engineering handling equipment, which is widely used in the handling of goods in industrial enterprises, buildings, ports and many other places, and occupies a pivotal position in the construction of the national economy. At present, most of the crane operations are completed by professionals. The biggest problem faced by this control method is the load swing caused by the movement of the crane and external interference. Or environmental collisions cause safety accidents. With the rapid development of science and technology, overhead cranes are developing in the direction of automation and intelligence, so it is urgent to establish a high-precision overhead crane model. The commonly used t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B66C17/00G06F17/50
CPCB66C17/00G06F30/17G06F30/367
Inventor 王宁刘秀
Owner ZHEJIANG UNIV
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