Development and Practical Implementation of Digital Observer for Elastic Torque of Rolling Mill Electromechanical System

Author:

Gasiyarov Vadim R.1ORCID,Radionov Andrey A.2ORCID,Loginov Boris M.3ORCID,Karandaev Alexander S.2ORCID,Gasiyarova Olga A.4,Khramshin Vadim R.2ORCID

Affiliation:

1. Department of Automation and Control, Moscow Polytechnic University, 38, Bolshaya Semyonovskaya Str., 107023 Moscow, Russia

2. Power Engineering and Automated Systems Institute, Nosov Magnitogorsk State Technical University, 38, Lenin Avenue, 455000 Magnitogorsk, Russia

3. Department of Mechatronics and Automation, South Ural State University, 454080 Chelyabinsk, Russia

4. Department of Material science, LLC NPP Uchtekh-Profi, 147, Kommuny Str., 454080 Chelyabinsk, Russia

Abstract

The strategic initiative aimed at building “digital metallurgy” implies the introduction of diagnostic monitoring systems to trace the technical condition of critical production units. This problem is relevant for rolling mills, which provide the output and determine the quality of products of metallurgical companies. Making up monitoring systems requires the development of digital shadows and coordinate observers, the direct measurement of which is either impossible or associated with numerous difficulties. These coordinates include the spindle torque applied by the spring-transmitting torque from the motor to the rolling stand rolls. The development and research are conducted by the example of the electromechanical systems of the horizontal stand at the plate mill 5000. The stand electric drive characteristics are given, and the emergency modes that cause mechanical equipment breakdowns are analyzed that. The relevance of analyzing transient torque processes in emergency modes has been accentuated. The paper points to the shortcomings of the system for elastic torque direct measurement, including low durability due to the harsh operating conditions of precision sensors. It also highlights the need to install the measuring equipment after each spindle. The disadvantage of the previously developed observer is the function of calculating the electric drive speed derivative. This causes a decrease in noise immunity and signal recovery accuracy. The contribution of this paper is building a digital elastic torque observer that has advantages over conventional technical solutions, based on the theoretical and experimental studies. The technique for virtual observer adjustment was developed and tested in the Matlab-Simulink software package. For the first time, a comprehensive analysis was conducted for spindle elastic torques in emergency modes that caused equipment damage. An algorithm was developed for an emergency shutdown of a stand electric drive in the worst-case mode of strip retraction between work and backup rolls, due to the overlap of the strip on the roll. Further, the algorithm was tested experimentally. The criteria for diagnosing pre-emergencies was then justified. An adaptive motor-braking rate controller was developed. The developed observer and emergency braking system are in operation at the mill 5000. Long experimental research proved the efficiency of dynamic load monitoring and the reduction in the number of equipment breakdowns.

Funder

Moscow Polytechnic University

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials

Reference81 articles.

1. Murri, M., Streppa, E., Colla, V., Fornai, B., and Branca, T.A. (2022, November 10). Digital Transformation in European Steel Industry: State of Art and Future Scenario. Blueprint “New Skills Agenda Steel”: Industry-Driven Sustainable European Steel Skills Agenda and Strategy (ESSA). Deliverable D2.1 Version 1 (Status: 30.09.2019). Available online: https://www.estep.eu/assets/Uploads/Technological-and-Economic-Development-in-the-Steel-Industry-ESSA-D6.1.pdf.

2. Future Challenges in the Steel Industry and Consequences for Rolling Plant Technologies;Buchmayr;BHM Berg- und Hüttenmännische Monatshefte,2018

3. Ha, D.H., and Kim, R. (2021). Nonlinear Optimal Position Control with Observer for Position Tracking of Surfaced Mounded Permanent Magnet Synchronous Motors. Appl. Sci., 11.

4. Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning;Park;IEEE Access,2020

5. Digitalization in hot and cold rolling mills;Ohlert;Mat. Sci. Forum,2016

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill;Journal of Manufacturing and Materials Processing;2023-10-12

2. Assessment of Signal Delay in Digital Twins for Electromechanical and Hydraulic Systems;2023 International Ural Conference on Electrical Power Engineering (UralCon);2023-09-29

3. Development of Digital Pressure Observer in Hydraulic Cylinders for Vertical Balancing of Rolling Stand Spindles;2023 Russian Workshop on Power Engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI);2023-09-29

4. Adaptive Load Division Controller for Electric Drives of Roll Stand;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15

5. Construction Principle for Object-Oriented Digital Twins of Mechatronic Complexes of Rolling Mills;2023 International Russian Smart Industry Conference (SmartIndustryCon);2023-03-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3