A fuzzy-based approach to protect the steering mechanism of high-power antennas in Tokamak

IF 2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Mehdi Davoudi , Mohsen Davoudi
{"title":"A fuzzy-based approach to protect the steering mechanism of high-power antennas in Tokamak","authors":"Mehdi Davoudi ,&nbsp;Mohsen Davoudi","doi":"10.1016/j.fusengdes.2025.115290","DOIUrl":null,"url":null,"abstract":"<div><div>When a mechanical actuator is located in an antagonistic environment where there is no possibility to place sensors to measure its position, there is the necessity of employment of a model-predictive protection system to stop the actuator to avoid danger in case of the malfunctioning actuator controller. In fact, due to the complexity of the actuator dynamics and its workspace map, it is not possible to use limiting proximity estimators or some controller output thresholds. This paper has aimed to design and implement a reliable protection strategy that monitors the movements of the actuator in real-time to protect the actuator from touching the workspace border especially when the actuator moves at its highest speed. The idea of the fuzzy-based scheme is to convert the workspace boundary map into safety contours using image processing and develop a model of the actuator with emergency braking using the Sugeno-type fuzzy inference system and Mamdani fuzzy system. The workspace information and dynamic model of the actuator and brake have been incorporated into the fuzzy model which is then being optimized using Adaptive Neuro-Fuzzy Inference System (ANFIS) to increase the accuracy. The fuzzy protection system raises the problem of the conventional model predictive-based protection system and its demand for high computational power and insufficient refresh rate. The proposed method can be applied to a variety of applications but the chosen one is for the protection of steering microwave antennas placed inside a nuclear fusion reactor for comparison of performance.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"219 ","pages":"Article 115290"},"PeriodicalIF":2.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fusion Engineering and Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920379625004867","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

When a mechanical actuator is located in an antagonistic environment where there is no possibility to place sensors to measure its position, there is the necessity of employment of a model-predictive protection system to stop the actuator to avoid danger in case of the malfunctioning actuator controller. In fact, due to the complexity of the actuator dynamics and its workspace map, it is not possible to use limiting proximity estimators or some controller output thresholds. This paper has aimed to design and implement a reliable protection strategy that monitors the movements of the actuator in real-time to protect the actuator from touching the workspace border especially when the actuator moves at its highest speed. The idea of the fuzzy-based scheme is to convert the workspace boundary map into safety contours using image processing and develop a model of the actuator with emergency braking using the Sugeno-type fuzzy inference system and Mamdani fuzzy system. The workspace information and dynamic model of the actuator and brake have been incorporated into the fuzzy model which is then being optimized using Adaptive Neuro-Fuzzy Inference System (ANFIS) to increase the accuracy. The fuzzy protection system raises the problem of the conventional model predictive-based protection system and its demand for high computational power and insufficient refresh rate. The proposed method can be applied to a variety of applications but the chosen one is for the protection of steering microwave antennas placed inside a nuclear fusion reactor for comparison of performance.

Abstract Image

基于模糊的托卡马克大功率天线转向机构保护方法
当机械致动器处于敌对环境中,无法放置传感器测量其位置时,有必要采用模型预测保护系统来停止致动器,以避免致动器控制器发生故障时发生危险。实际上,由于执行器动力学及其工作空间映射的复杂性,不可能使用限制接近估计器或某些控制器输出阈值。本文旨在设计和实现一种可靠的保护策略,实时监测执行机构的运动,以防止执行机构接触工作空间边界,特别是在执行机构以最高速度运动时。该模糊方案的思想是利用图像处理技术将工作空间边界图转换为安全等高线,并利用sugeno型模糊推理系统和Mamdani模糊系统建立带有紧急制动的执行机构模型。将作动器和制动器的工作空间信息和动力学模型纳入模糊模型,利用自适应神经模糊推理系统(ANFIS)对模糊模型进行优化,提高了模型的精度。模糊保护系统提出了传统的基于模型预测的保护系统对计算能力要求高、刷新率不够的问题。所提出的方法可以应用于多种应用,但为了比较性能,选择了一种用于保护放置在核聚变反应堆内的转向微波天线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Fusion Engineering and Design
Fusion Engineering and Design 工程技术-核科学技术
CiteScore
3.50
自引率
23.50%
发文量
275
审稿时长
3.8 months
期刊介绍: The journal accepts papers about experiments (both plasma and technology), theory, models, methods, and designs in areas relating to technology, engineering, and applied science aspects of magnetic and inertial fusion energy. Specific areas of interest include: MFE and IFE design studies for experiments and reactors; fusion nuclear technologies and materials, including blankets and shields; analysis of reactor plasmas; plasma heating, fuelling, and vacuum systems; drivers, targets, and special technologies for IFE, controls and diagnostics; fuel cycle analysis and tritium reprocessing and handling; operations and remote maintenance of reactors; safety, decommissioning, and waste management; economic and environmental analysis of components and systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信