气分装置过程模型辨识及PID参数优化  

Gas Separation Unit Model Identification and PID Parameters Optimization

作　　者：李成响[1] 李平[1] 曹江涛[1] 

机构地区：[1]辽宁石油化工大学信息与控制工程学院,抚顺113001

出　　处：《自动化与仪表》2013年第3期41-44,共4页Automation & Instrumentation

基　　金：辽宁省高等学校杰出青年学者成长计划项目(LJQ2011032);辽宁省科技攻关项目(2011216011)

摘　　要：对气体分离装置实施先进控制需要精确的过程模型、优化运行的指导性操作参数,并对各控制回路的PID控制器参数需要重新整定。因此,实现力控与MATLAB之间的实时通讯成为关键技术。基于OPC技术,利用MATLAB的OPC工具箱实现力控与MATLAB之间的实时通讯,通过采集阶跃响应实验数据,辨识评价出精确的过程模型,采用粒子群算法优化整定出最优的PID参数,为实施先进预测控制奠定了实践基础。Implementation of advanced control of gas separation device requires accurate process model,to optimize the running of the guiding operating parameters and re-tuning PID controller parameters on each control loop. There- fore it becomes a key technology to achieve real-time communication between the Forcecontrol with MATLAB. Based on OPC technology and using the real-time communication between the Foreecontrol with MATLAB to collect experi- mental data. With identification and evaluation of accurate process models,particle swarm optimization to set optimal PID parameters. That laid the practical foundation for the implementation of advanced predictive control.

关 键 词：OPC通讯 模型辨识 PID参数自整定 PSO 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]