摘要
为提升核反应堆关键设备的智能化水平,使设备能根据实时获取的多源信号实现运行状态的自我感知、诊断和反馈,本研究针对控制棒驱动机构开发了控制棒驱动系统自适应控制数字化模型和控制棒驱动机构故障诊断智能模型,并基于dSPACE实时仿真系统搭建了控制棒驱动机构智能感知与诊断系统实验样机。通过功能验证,证明该系统能根据控制棒驱动机构线圈电流和振动信号对控制棒驱动机构的正常运行工况和典型故障模式进行实时判别、故障诊断、反馈与自适应控制,各种运行状态的识别准确率达到99.2%以上,为后续核反应堆智能设备的研制提供参考。
In order to facilitate the intelligence level of the key equipment of nuclear reactor,to enable the equipment to realize the self-perception and feedback of the technical status according to the multi-source signals obtained in real time,the present study develops an adaptive control digital model and a fault diagnosis/performance prediction model for CRDM.Furthermore,the experimental prototype of the CRDM perception diagnosis system is built based on the dSPACE platform.Through functional verification,the system can perform real-time identification,feedback,as well as adaptive control of the normal and faulty operating conditions of CRDM based on the current and vibration signals.The recognition accuracy rate for various working conditions reaches more than 99.2%,providing supportive reference for the subsequent nuclear reactor intelligent equipment development.
作者
阳惠
曾辉
张思原
黄擎宇
李梦书
杨昆霖
林源峰
YANG Hui;ZENG Hui;ZHANG Siyuan;HUANG Qingyu;LI Mengshu;YANG Kunlin;LIN Yuanfeng(Science and Technology on Reactor System Design Technology Laboratory,Nuclear Power Institute of China,Chengdu,610213,China)
出处
《自动化与仪器仪表》
2023年第7期99-102,共4页
Automation & Instrumentation
基金
核能开发科研项目“人工智能在核反应堆方面的应用”,(2019)1341号。