重庆理工大学学报2025，Vol.39Issue(5)：75-84,10.DOI:10.3969/j.issn.1674-8425(z).2025.03.010
电驱车间空调系统ICPO-IFNN二阶段PID控制方法
ICPO-IFNN two-stage PID control method for electric drive workshop air conditioning system
摘要
Abstract
To address the poor control performance,weak adaptive ability and bad anti-interference ability of PID controller for electric drive workshop air conditioning system,this paper proposes an improved crown porcupine and fuzzy neural network(ICPO-IFNN)two-stage PID control method.The first-stage applies the ICPO algorithm to optimize the parameters of the FNN to improve the adaptive ability and anti-interference ability of the PID controller and to enhance the search ability and convergence speed of the FNN.Then,the IFNN algorithm is employed to optimize the parameters of the PID controller to improve its control performance.Finally,the proposed two-stage PID control method is co-simulated with four other PID control methods.They are compared and analyzed in five aspects,namely,convergence speed,search ability,control performance,adaptive ability and anti-interference ability.Results demonstrate the superiority of our proposed two-stage PID control method.关键词
电驱车间/空调系统/PID控制器/二阶段优化方法/ICPO-IFNN算法Key words
electric drive workshop/air conditioning system/PID controller/two-stage optimization method/ICPO-IFNN algorithm分类
计算机与自动化引用本文复制引用
龚小容,王鑫,熊维清,张洪铭..电驱车间空调系统ICPO-IFNN二阶段PID控制方法[J].重庆理工大学学报,2025,39(5):75-84,10.基金项目
国家自然科学基金项目(52405532) （52405532）
重庆市自然科学基金项目(CSTB2024NSCO-MSX0425) （CSTB2024NSCO-MSX0425）
重庆市教委科学技术研究计划项目(KJON202401136) （KJON202401136）
重庆理工大学国家"两金"培育项目(2023PYZ022) （2023PYZ022）
重庆理工大学科研启动项目(2023ZDZ046) （2023ZDZ046）
