基于自适应遗传算法的气化炉氧碳比控制  

O/C Ratio Control for Dry Coal Powder Gasifier Based on Adaptive Genetic Algorithm

作　　者：程思凡 吴慕遥 秦琳琳[1] 吴刚[1] CHENG Si-fan;WU Mu-yao;QIN Lin-lin;WU Gang(School of Information Science and Technology,University of Science and Technology of China,Hefei Anhui 230022,China)

机构地区：[1]中国科学技术大学信息科学技术学院

出　　处：《计算机仿真》2022年第7期281-286,共6页Computer Simulation

基　　金：国家重点研发计划“大规模干煤粉气流床气化技术开发及示范”(2017YFB0602700)。

摘　　要：干煤粉气化炉是一种重要的清洁能源生产设备,对于复杂的气化炉控制系统,如何才能实现准确、快速的控制成为亟待解决的问题。气化炉系统具有大滞后、非线性及强耦合等特点,常规PID难以满足控制品质的需求。设计了一种自适应PID控制方案:以系统的氧煤比回路为研究对象,通过系统辨识的方法实时建模。基于对象模型使用自适应遗传算法调整PID参数。仿真结果表明,上述方法能够在线辨识模型和整定PID参数,通过控制氧煤比,使输出快速稳定跟随系统设定值,改善了控制效果,提高了系统的安全性与稳定性。Dry coal powder gasifier is an important clean energy production equipment.How to achieve accurate and fast control performance for a complex gasifier control system has become an urgent problem to be solved.The gasifier system has the characteristics of large lag,nonlinearity,and a high degree of coupling,which makes the conventional PID difficult to meet our control quality requirements.In this paper,an adaptive PID control scheme is designed:the O/C ratio loop is taken as the research object,the system identification method is used to model in real-time,and the adaptive genetic algorithm is used to optimize PID parameters based on the object model.The simulation results of this method show that it can identify the model in real-time and get suitable PID parameters.By controlling the oxygen-to-coal ratio,the output can quickly and stably follow the system settings.This method improves the control effect and enhances the safety and stability of the system.

关 键 词：自适应遗传算法 系统辨识 气化炉 氧煤比 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]