摘要
为减少冷冻水系统能耗,提高变风量空调送风温度控制效果,提出一种基于入侵杂草的萤火虫群算法优化PID控制策略。首先对变风量空调的送风温度-冷冻水阀系统进行建模;然后将基本萤火虫群算法与杂草优化算法结合,构建入侵杂草-萤火虫群算法,利用改进后算法对空调送风温度系统进行控制。进行系统仿真对比以及实验测试,结果表明:改进后的送风温度控制更加精确,稳定性更强,同时具有一定的节能效果。
In order to reduce the chilled water system energy consumption and improve the variable air volume air conditioner supply air temperature control effect at the same time,a glowworm swarm optimized algorithm based on invasive weeds is proposed to optimize the PID control strategy.Firstly,the air supply temperature-chilled water valve system of the variable air volume air conditioner is modeled;then the basic glowworm swarm optimized algorithm is combined with the weed optimization algorithm to build the invasive weed-glowworm swarm optimized algorithm,and the improved algorithm is used to control the air supply temperature system of the air conditioner.The system simulation comparison and experimental test are conducted,and the results show that the improved air supply temperature control is more accurate and stable,and also has certain energy-saving effect.
作者
杨世忠
逄铄
YANG Shizhong;PANG Shuo(School of Information and Control Engineering,Qingdao University of Technology,Qingdao 266520,China)
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2023年第2期250-256,共7页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金项目(61703224)
关键词
变风量空调
送风温度
萤火虫群算法
入侵杂草优化算法
鲁棒性
VAV air conditioning
air supply temperature
glowworm swarm optimized algorithm
invasive weed optimization algorithm
robustness