哈尔滨工程大学学报2024，Vol.45Issue(5)：964-973,10.DOI:10.11990/jheu.202112054
基于模糊逻辑的空调系统广义预测控制参数整定
GPC tuning for air-conditioning systems based on fuzzy logic
摘要
Abstract
For a multiple-input-multiple-output variable air volume(VAV)air-conditioning system,a generalized predictive control(GPC)parameter tuning method based on fuzzy logic and event triggering is proposed,establis-hing a fuzzy prediction model based on the output slope and new fuzzy target parameters and the Gaussian bilateral membership function to improve the membership function and better reflect the current state of the system.Subse-quently,the sparrow search algorithm(SSA)is used to construct the membership function to segmentally adjust the softening factor and weighting coefficient in the GPC controller online,which has effectively improved the system performance.Moreover,in the parameter tuning process,the event trigger mechanism is introduced to avoid unnec-essary controller sampling and update while ensuring control performance.It reduces the amount of system online calculations and energy consumption.Finally,the simulation experiment of the VAV air-conditioning system proves the feasibility and effectiveness of the proposed method.关键词
广义预测控制/参数整定/模糊逻辑/柔化因子/加权系数/事件触发机制Key words
generalized predictive control/parameter tuning/fuzzy logic/softening factor/weighting coefficient/e-vent trigger mechanism分类
信息技术与安全科学引用本文复制引用
贺宁,李尚,许恭博,郝文斌..基于模糊逻辑的空调系统广义预测控制参数整定[J].哈尔滨工程大学学报,2024,45(5):964-973,10.基金项目
国家自然科学基金项目(61903291) （61903291）
博士后面上基金项目(2019M660257). （2019M660257）
