基于遗传算法的天然气液化工艺PID控制器参数整定与优化  

Tuning and optimization of PID controller parameters for natural gas liquefaction process based on genetic algorithm

作　　者：刘淼儿[1] 单卫光 朱建鲁[3] 刘金华 李恩道[1] LIU Miaoer;SHAN Weiguang;ZHU Jianlu;LIU Jinhua;LI Endao(CNOOC Gas&Power Group,Beijing 100028,China;North China Municipal Engineering Desing&Research Insititute Co.,Ltd.,Hefei Branch,Hefei 230061,Anhui,China;College of Pipeline and Civil Engineering,China University of Petroleum(Huadong),Qingdao 266580,Shandong,China)

机构地区：[1]中海石油气电集团有限责任公司,北京100028 [2]中国市政工程华北设计研究总院有限公司合肥分公司,安徽合肥230061 [3]中国石油大学(华东)储运与建筑工程学院,山东青岛266580

出　　处：《天然气化工—C1化学与化工》2022年第5期138-144,共7页Natural Gas Chemical Industry

基　　金：国家自然基金联合重点项目(U21B2085)。

摘　　要：天然气液化工艺具有影响因素多、系统变化滞后性大和干扰耦合性强的特点,对控制器的性能要求较高。在天然气液化工艺动态模拟的基础上,结合遗传算法,将控制器的比例、积分和微分参数作为变量,被控制变量的误差对时间的积分值作为适应度函数,对节流温度串级控制、压缩机压力控制和分离器液位控制等关键控制器的PID参数进行了整定和优化,改进控制效果,为天然气液化装置的稳定运行提供依据。结果表明,优化后天然气节流温度、压缩机出口压力和混合制冷剂液位控制误差分别降低了17.7%、71.4%和92.9%。The natural gas liquefaction process has the characteristics of many inffuencing factors, large system change hysteresis,and strong interference coupling, which require high performance of controller. On the basis of the natural gas liquefaction process dynamic simulation, combined with genetic algorithm, the controller of proportion, integral and differential parameters were taken as variables, and the error of the controlled variable integral value of time was taken as a fitness function. The PID parameters of key controllers such as throttling temperature cascade control, compressor pressure control, separator liquid level control and so on were adjusted and optimized to improve the control effect, which provide a basis for the stable operation of natural gas liquefaction plants.The results show that after optimization, the control errors of natural gas throttling temperature, compressor outlet pressure and mixed refrigerant level are reduced by 17.7%, 71.4% and 92.9%, respectively.

关 键 词：天然气液化 遗传算法 PID控制器 参数整定 

分 类 号：TE646[石油与天然气工程—油气加工工程]