基于遗传算法的绝热去磁制冷机中PID参数整定  

Genetic Algorithm-based PID Parameter Tuning for Adiabatic Demagnetization Refrigeration

作　　者：刘萍 李珂[1] 王亚男 赵鹏 沈俊 戴巍[1,2] LIU Ping;LI Ke;WANG Yanan;ZHAO Peng;SHEN Jun;DAI Wei(Key Laboratory of Cryogenic Science and Technology,Technical Institute of Physical and Chemistry,CAS,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100190,China;School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China;Cross disciplinary Research Center for Micro Nano Materials and Technology Frontiers,Technical Institute of Physical and Chemistry,CAS,Beijing 100190,China)

机构地区：[1]中国科学院理化技术研究所低温科学与技术重点实验室,北京100190 [2]中国科学院大学,北京100049 [3]北京理工大学机械与车辆学院,北京100081 [4]中国科学院理化技术研究所微纳材料与技术前沿交叉研究中心,北京100190

出　　处：《真空与低温》2024年第2期143-147,共5页Vacuum and Cryogenics

基　　金：科技部重点研发计划(2021YFC2203303);中国科学院科研仪器设备研制项目(GJJSTD20190001)。

摘　　要：在绝热去磁制冷系统中,PID控制器常用来控制等温磁化或等温去磁过程中磁热模块的温度稳定。由于ADR系统的非线性较强,传统的PID参数整定方法往往效果较差,实际ADR系统中PID的参数整定往往十分依赖于人工试错,耗费大量时间精力。而遗传算法在PID参数调试时对系统的依赖性小,非常适合复杂非线性系统的参数寻优。基于MATLAB语言和集总参数方法,实现了基于遗传算法的绝热去磁制冷机中GGG磁热模块的PID参数整定,为实际工程中的PID参数调节提供参考。In Adiabatic Demagnetization Refrigerator(ADR),PID controllers are commonly used to control the temperature of the salt pill during isothermal magnetization or demagnetization processes.However,due to the strong nonlinearity of ADR systems,traditional PID parameter tuning methods are often ineffective.The practical tuning of PID parameters for ADR systems often relies heavily on trial and error,which is time-consuming and laborious.Genetic algorithms,on the other hand,have low system dependency when tuning PID parameters,which is very suitable for optimizing parameters in complex nonlinear systems.Based on MATLAB software and lumped-parameter approach,a genetic algorithm is applied to PID parameters tuning of GGG salt pill in ADR systems.The results have guiding significance for PID parameter tuning in practical application.

关 键 词：绝热去磁制冷 PID参数整定 遗传算法 

分 类 号：TB651[一般工业技术—制冷工程]