山西大学学报（自然科学版）2024，Vol.47Issue(5)：1021-1027,7.DOI:10.13451/j.sxu.ns.2023088
基于CHPSO算法的量子纠缠源温度控制系统
Temperature Control System of Quantum Entanglement Source Based on CHPSO Algorithm
摘要
Abstract
In order to improve the performance of quantum communication band entanglement source system,a temperature control system based on competitive hybrid particle swarm optimization(HPSO)is designed and implemented.The temperature control sys-tem mainly controls the temperature of nonlinear crystals.The temperature control system proposed in this paper combines the CHP-SO algorithm with the proportional-integral-differential(PID)control algorithm,which can effectively reduce the overshoot of the temperature control system and improve the response speed of the system.The results show that the optimization results of the sys-tem in parameter tuning are closer to the global optimal than genetic algorithm(GA),particle swarm optimization(PSO)and hybrid particle swarm optimization(HPSO),the overshoot is reduced by 95.2%,89.1%and 80.8%,and the adjustment time is reduced by 76.5%,19.7%and 8.0%,respectively,to only 0.034 5 s,and the multiple operation deviation is smaller and more robust,which has important applications in temperature control and other fields.关键词
纠缠源/温度控制/竞争混合粒子群/PID/参数整定Key words
entanglement source/temperature control/competitive mixed particle swarm/PID/parameter setting分类
信息技术与安全科学引用本文复制引用
梁文哲,徐鹏,王宁..基于CHPSO算法的量子纠缠源温度控制系统[J].山西大学学报（自然科学版）,2024,47(5):1021-1027,7.基金项目
国家自然科学基金(11904219) （11904219）
