Modeling of High-power Plasma Arc Hearter Based on Neural Network

MA Jianping; YUAN Xiurong; HAO Ruixiang

doi:10.13296/j.1001-1609.hva.2021.10.018

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Modeling of High-power Plasma Arc Hearter Based on Neural Network

更新时间：2025-04-26

- Modeling of High-power Plasma Arc Hearter Based on Neural Network
- High VoltageApparatus Vol. 57, Issue 10, Pages: 141-145+157(2021)
- 作者机构：
  
  1. 中国航天空气动力技术研究院
  2. 北京交通大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2021.10.018
  CLC： TP183;V416.8
- Published：2021
- 稿件说明：
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MA Jianping, YUAN Xiurong, HAO Ruixiang. Modeling of High-power Plasma Arc Hearter Based on Neural Network[J]. High voltageapparatus, 2021, 57(10): 141-145+157.
DOI：

MA Jianping, YUAN Xiurong, HAO Ruixiang. Modeling of High-power Plasma Arc Hearter Based on Neural Network[J]. High voltageapparatus, 2021, 57(10): 141-145+157. DOI： 10.13296/j.1001-1609.hva.2021.10.018.

摘要

针对等离子体电弧加热器的电气特性进行研究

建立了一种基于电弧电流、电弧电压和气流量的等离子体电弧神经网络模型。该模型主要考虑了电弧电流以及气流量对电弧电压的作用。利用MATLAB软件的Simulink模块建立大功率等离子体电弧模型

并与搭建的大功率晶闸管整流电源电路进行联合仿真。仿真得到的数据与实验数据进行对比分析

仿真结果表明:该模型可以准确模拟等离子体电弧的伏安特性

能够为后续等离子体电弧电源系统控制系统的参数优化

改善动态特性

实现电弧加热器实验系统参数匹配优化等

提供重要支撑。

Abstract

The characteristics of the plasma arc heater is studied

and a plasma arc neural network model based on arc current

arc voltage and gas flow rate is established. The model mainly considers the effect of arc current and gas flow rate on arc voltage. The Simulink module of MATLAB software is used to establish a high-power plasma arc model

and a joint simulation is carried out with the constructed high-power thyristor rectifier power supply circuit. The data obtained from the simulation are compared with the experimental data. The simulation results show that the model can accurately simulate the volt-ampere characteristics of the plasma arc

which provides important support for the parameters optimization design of the control system of the plasma arc power system

improvement of dynamic performance

parameters matching optimization of plasma arc experiment system.

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Related Author

WANG Shenhua

FENG Pinghui

WU Tian

PU Ziheng

FANG Chunhua

LI Peng

LONG Quan

汪瑶同

Related Institution

Hubei Provincial Engineering Technology Research Center for Power Transmission Line

State Grid Zhejiang Wuyi Electric Power Supply Company

State Grid Zhejiang Huzhou Electric Power Supply Company

College of Electrical Engineering & New Energy, China Three Gorges University

225002

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