Enhanced pressure control system for the vacuum vessel of Damavand Tokamak using PID and multiple model control

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Mahdi Amini , Mahdi Aliyari Shoorehdeli , Hossein Rasouli
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引用次数: 0

Abstract

This paper presents the implementation of the pressure control system for the vacuum vessel of Damavand Tokamak. PID controllers within the framework of multiple-model control are utilized for controller design, aiming to safely achieve the desired setpoint for the pressure of the vacuum vessel. The chamber pressure is measured in real-time using a Cold Cathode Pirani gauge and transferred as feedback to the controller. There is a gas injection system to adjust the chamber pressure. Multiple process models are derived for the vacuum vessel pressure based on a system identification approach using the experimental data from the process. The derived models are employed in designing the PID controllers. The designed controllers are implemented on the tokamak gas injection system. The experimental results demonstrate that the designed controllers effectively track the desired pressure profile.

使用 PID 和多模型控制的达玛万德托卡马克真空容器增强型压力控制系统
本文介绍了达马万德托卡马克真空容器压力控制系统的实施情况。控制器设计采用了多模型控制框架内的 PID 控制器,旨在安全地达到真空容器压力的理想设定点。腔室压力通过冷阴极皮拉尼压力计实时测量,并作为反馈传送给控制器。有一个气体注入系统来调节腔室压力。在系统识别方法的基础上,利用过程中的实验数据推导出真空容器压力的多个过程模型。得出的模型用于设计 PID 控制器。所设计的控制器在托卡马克气体注入系统上得以实现。实验结果表明,所设计的控制器能有效跟踪所需的压力曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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