以霍尼韦尔设备为基础,为食品工业开发供暖、通风和空调过程自动化系统

Z. Samigulina, A. K. Kurmasheva, M. K. Kazbek
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引用次数: 0

摘要

目前,工业自动化的发展使得考虑复杂对象动态特性的高精度控制系统成为可能。基于现代软件产品的分布式控制系统的构建提供了技术流程的分散管理。借助现代工业设备对现有控制系统进行现代化改造,可以提高企业的生产率和工作安全性。本研究致力于开发食品工业加热、通风和空调过程的自动化控制系统。本研究选择热交换器作为控制对象。研究了控制对象的稳定性、可控性和可观测性的数学模型。合成了一个 PID 调节器,并获得了 PID 调节器的系数。对不同调节器系数下的系统动力学行为进行了对比分析。建模和实验结果是在 JSC KBTU 霍尼韦尔实验室使用实际工业设备得出的。软件实施采用 Experion PKS 分布式控制系统。介绍了 C300 控制器的配置。为确保系统安全无故障运行,开发了安全仪表系统 (SIS)。SIS 也是使用安全管理器和安全控制器工具开发的。对风险降低系数(RRF)和安全完整性等级(SIL)进行了计算和分析。开发了过程控制记忆法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEVELOPMENT OF A PROCESS AUTOMATION SYSTEM FOR HEATING, VENTILATION AND AIR CONDITIONING FOR THE FOOD INDUSTRY ON THE BASIS OF HONEYWELL EQUIPMENT
Currently, the development of industrial automation makes it possible to implement high-precision control systems that consider the dynamic properties of complex objects. The construction of distributed control systems based on modern software products provides decentralized management of technological processes. The modernization of existing control systems with the help of modern industrial equipment makes it possible to increase the productivity of enterprises and safety at work. This study is devoted to the development of an automated control system for heating, ventilation, and air conditioning processes for the food industry. In this study, a heat exchanger was selected as the control object. A mathematical model of the control object for stability, controllability, and observability was investigated. A PID regulator was synthesized, and its coefficients of the PID regulator were obtained. A comparative analysis of the behavior of the system dynamics at different regulator coefficients was carried out. The results of the modeling and experiments were carried out using real industrial equipment at the Honeywell laboratory at JSC KBTU. Software implementation was carried out using the Experion PKS distributed control system. The configuration of the C300 controller is presented. A Safety Instrumented System (SIS) was developed for the safe and trouble-free operation of the system. SIS was also developed using the Safety Manager and Safety Controller tools. Risk reduction factors (RRF) and Safety Integrity Level (SIL) were calculated and analyzed. A process-controlled mnemonic was developed.
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