东北电力技术2026，Vol.47Issue(9)：20-23,56,5.
基于QI-SNN的自适应跳纤控制算法研究
Research on Adaptive Fiber Skipping Control Algorithm Based on QI-SNN
邢文红 1程科仁 1李阳 1焦振 1郭昊1
作者信息
- 1. 国网辽宁省电力有限公司鞍山供电公司,辽宁 鞍山 114002
- 折叠
摘要
Abstract
In order to solve the problems of poor reliability and slow fault recovery of optical fiber links in power communication sys-tems,it proposes an adaptive fiber-hopping control algorithm that integrates quantum-inspired spiking neural network(QI-SNN)and integral separation PID.Firstly,through the dynamic perception and processing of optical power signals by QI-SNN,it achieves the adaptive adjustment of the optical power threshold,avoiding the problem of easy misjudgment of the fixed threshold in traditional meth-ods.Secondly,by integrating the integral separation PID controller,it achieves the rapid response and stable execution of the fiber skipping action.Finally,it conduct simulation tests.The results show that this algorithm outperforms the traditional methods in terms of misjudgment rate,response time and stability,improving the reliability and real-time performance of the power communication system.关键词
电力通信/量子脉冲神经网络/积分分离PID/光功率检测Key words
power communication/quantum pulsed neural network/integral separation PID/optical power detection分类
信息技术与安全科学引用本文复制引用
邢文红,程科仁,李阳,焦振,郭昊..基于QI-SNN的自适应跳纤控制算法研究[J].东北电力技术,2026,47(9):20-23,56,5.
