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Fast calculation method for dynamic characteristics of contactor based on radial basis function neural network

A technology with dynamic characteristics and fast calculation, applied in biological neural network models, calculations, instruments, etc., can solve problems that cannot take into account both calculation efficiency and calculation accuracy, and achieve the effect of improving solution accuracy and accuracy

Active Publication Date: 2018-02-09
HARBIN INST OF TECH
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a kind of fast calculation method of the contactor dynamic characteristic based on radial basis function neural network, this method takes into account calculation efficiency and calculation precision, solves the dynamic characteristic of contactor by radial basis function neural network approximation model, solves It solves the problem that the existing calculation methods of dynamic characteristics of contactors cannot take into account both calculation efficiency and calculation accuracy, provides a basis for contactor optimization design, and has good practical application value

Method used

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  • Fast calculation method for dynamic characteristics of contactor based on radial basis function neural network
  • Fast calculation method for dynamic characteristics of contactor based on radial basis function neural network
  • Fast calculation method for dynamic characteristics of contactor based on radial basis function neural network

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Embodiment

[0104] For a certain type of direct-acting high-power DC contactor, calculate its dynamic characteristics, and its structure is as follows: figure 2 As shown, the rated voltage of the contactor is 28V, the coil resistance is 40Ω, the number of coil turns is 2100 turns, the mass of the armature is 0.0203kg, the main magnetic material is DT4E, the total stroke of the armature is 2.68e-3m, and the maximum current of the coil is 0.7A. The specific calculation steps are as follows:

[0105] 1. Establish the finite element model of the contactor in FLUX software according to the drawing of the contactor. Since the contactor is highly symmetrical, only 1 / 4 model is established. The finite element model after establishing the divided network is as follows: image 3 shown.

[0106] 2. Select 120 groups of different coil currents and armature displacements as sampling points (i b ,x b ), the current level is 0.1A, 0.2A...0.7A, a total of 8, and the displacement level is 0.2e-3m, 0....

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Abstract

The invention discloses a fast calculation method for dynamic characteristics of a contactor based on a radial basis function neural network. The method comprises the following steps of: 1, acquiringthe size of each structure of the contactor, the rated voltage of the contactor, the resistance of a coil, the number of turns of the coil, the mass of an armature and the material for each structureof the contactor according to the drawing of the contactor; 2, establishing a finite element model of the contactor; 3, simulating the finite element model of the contactor; 4, establishing a radial basis function neural network model of flux linkage of the contactor and a radial basis function neural network model of electromagnetic force of the contactor; 5, setting an initial state of dynamic characteristic calculation of the contactor, and determining the step length of calculation time and the total calculation time; 6, solving a dynamic characteristic equation of contactor by using a fourth-order Runge-Kutta method; and 7, aligning the solved data with the time to obtain the dynamic characteristics of the contactor. The method takes both calculation efficiency and calculation precision into account, provides a basis for the optimal design of the contactor, and has very good practical application value.

Description

technical field [0001] The invention belongs to the technical field of contactor design, and relates to a method for calculating the dynamic characteristics of a contactor, in particular to a method for quickly calculating the dynamic characteristics of a contactor based on a radial basis function neural network. Background technique [0002] The contactor plays the role of controlling the on-off of the circuit in the circuit system, and its performance is directly related to the safety and stability of the whole circuit, so it is an important component. The dynamic characteristic of the contactor is an important performance index of the contactor, which will have a direct impact on the switching circuit speed of the contactor and the electrical life of the contactor. In recent years, with the development of power systems and aerospace and other related fields, people have put forward higher and higher requirements for the dynamic characteristics of contactors. It is necessa...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/02
CPCG06N3/02G06F30/20G06F30/23
Inventor 杨文英郭久威刘兰香刘洋梅发斌翟国富
Owner HARBIN INST OF TECH
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