基于四质量热模型的轧机电机温度观测器。

IF 3.5 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2025-07-17 DOI:10.3390/s25144458
Boris M Loginov, Stanislav S Voronin, Roman A Lisovskiy, Vadim R Khramshin, Liudmila V Radionova
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引用次数: 0

摘要

随着轧制越来越多的难变形钢种,轧机电机的热控制变得越来越重要。随着基于数字工业物联网的技术的采用,诊断监测的能力也得到了扩展。现代轧机的电气传动是基于频率调节的同步电动机。这种电动机价格昂贵,而其可靠性又影响冶炼厂的产量。因此,开发此类电机的在线温度监测系统迫在眉睫。本文提出了一种适用于5000中板轧机横辊架上下辊同步电机的解决方案。每台电机的装机容量为12mw。根据数字化的趋势,在线监测系统应基于数字阴影(坐标观测者),类似于数字孪生,在冶金厂广泛应用。现代可靠性要求设定了定子和转子绕组和铁芯的连续温度监测。本文首先描述了一种基于轧制过程中创建的数据集计算热负荷的方法。作者开发了一个基于电机加热四质量模型的热状态观测器,该模型使用Simscape热模型库域构建,该库域是MATLAB Simulink的一部分。利用半实物仿真对观测器和热模型进行了虚拟平差。作者通过将观测者的值与控制点测量的实际值进行比较,验证了结果。对轧制过程中的离散质量加热进行了研究。分析了不同时段定子和转子绕组温度。作者得出结论,上、下辊子的电机处于令人满意的状态。研究结果总体上提出了在工业电气设备中使用面向对象的数字阴影的思想。介绍了提高轧钢机电气传动可靠性的技术,这是冶金工业的创新发展。作者还对扩大研究成果的工业应用提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motor Temperature Observer for Four-Mass Thermal Model Based Rolling Mills.

Thermal control in rolling mills motors is gaining importance as more and more hard-to-deform steel grades are rolled. The capabilities of diagnostics monitoring also expand as digital IIoT-based technologies are adopted. Electrical drives in modern rolling mills are based on synchronous motors with frequency regulation. Such motors are expensive, while their reliability impacts the metallurgical plant output. Hence, developing the on-line temperature monitoring systems for such motors is extremely urgent. This paper presents a solution applying to synchronous motors of the upper and lower rolls in the horizontal roll stand of plate mill 5000. The installed capacity of each motor is 12 MW. According to the digitalization tendency, on-line monitoring systems should be based on digital shadows (coordinate observers) that are similar to digital twins, widely introduced at metallurgical plants. Modern reliability requirements set the continuous temperature monitoring for stator and rotor windings and iron core. This article is the first to describe a method for calculating thermal loads based on the data sets created during rolling. The authors have developed a thermal state observer based on four-mass model of motor heating built using the Simscape Thermal Models library domains that is part of the MATLAB Simulink. Virtual adjustment of the observer and of the thermal model was performed using hardware-in-the-loop (HIL) simulation. The authors have validated the results by comparing the observer's values with the actual values measured at control points. The discrete masses heating was studied during the rolling cycle. The stator and rotor winding temperature was analysed at different periods. The authors have concluded that the motors of the upper and lower rolls are in a satisfactory condition. The results of the study conducted generally develop the idea of using object-oriented digital shadows for the industrial electrical equipment. The authors have introduced technologies that improve the reliability of the rolling mills electrical drives which accounts for the innovative development in metallurgy. The authors have also provided recommendations on expanded industrial applications of the research results.

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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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