基于PSO算法的IMC-PID加热炉温度控制研究
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中图分类号：TP273 文献标志码：A 文章编号：1671-5276（2025）03-0038-05
Research on IMC-PID Heating Furnace Temperature Control Based on PSO Algorithm
ZHOU Tong'，ZHU Qian²，ZHANG Kuikui³， ZHOU Tong³，WANG Cunsong³，BO Cuimei¹ （1. College of Electrical Engineering and Control Science，Nanjing Tech University，Nanjing 211816， China; 2.Jiangsu Academy of Chemical Inherent Safety，Nanjing 210o09，China； 3.Institute of Intelligent Manufacturing，Nanjing Tech University，Nanjing 21ooo9，China）
Abstract：Thetemperatureof theheatingfurnacehascharacteristicsof nonlinearityandlarge hysteresis，withmanydisturbance factors，andtraditionalPIDcontrolersandtheirparametertuningmethodssuferinsuficiencesinmeetingtherequirementsof rapidheating andnonovershoot processcontrol.Thisarticle proposes anIMC-PIDcascadecontrolmethodbasedontheParticle SwarmOptimization（PSO）algorithm.Interalmodelcontroltheoryisaplidtoimprovethemaincontroller，andPSOalgorithm isusedtooptimizeandtune thecontrolerparameters toupgradethetracking performanceandanti-interferenceperformanceof thecontrolsystem.Numericalsimulationsareconductedtoverifytheefectivenessofthedesignedcontrolsystemincotroling the temperature of the heating furnaceunder model matching and mismatch conditions （parameters k ， T ， τ Effectiveness and feasibility under uniform perturbation of 20% ）with fast response and low overshoot characteristics.
Keywords： heating furnace；temperature control； cascade control system；internal model control；PSO algorithm
0 引言
加热炉作为石油化工生产过程的核心设备[1]，在工艺介质的升温和气化过程起到关键作用，其中加热炉的温度控制精度直接影响生产安全、反应效率和产品质量。（剩余5485字）