摘要
为解决具有综合复杂动态特性的竖炉焙烧(shaft furnace roasting,SFR)过程运行优化控制问题,基于研制的流程工业一体化运行控制平台,开发了具有可伸缩、可扩展、可复用以及模块化、组态化特点的SFR过程运行优化控制(operational optimization control,OOC)系统.该系统支持MATLAB、动态链接库等多种算法实现方式,并采用非编译融合算法方式实现算法与系统功能模块的解耦.基于开发的OOC系统,建立了具有运行控制层、过程控制层以及虚拟对象层的半实物仿真实验平台,开展了相应的仿真实验研究.结果表明OOC系统在正常工况和局部故障工况下均能取得满意的控制性能.
To realize the optimal operation control for the complex shaft-furnace roasting（SFR） process,we develop an operational optimization control（OOC） system on the incorporated operational control platform for process industries.This system is characterized with flexibility,expandability,reusability,openness and modularity.It can support a variety of algorithm realization ways,such as Matlab and Dynamic Link Library（dll）.Moreover,algorithm and the system functional modules can be decoupled by embedding algorithm into systems without coupling.Based on this developed OOC system,a hardware-in-loop simulation experiment platform which comprises an operational control layer,a process control layer,and a virtual plant layer has been established for experimental studying.The experiment results show that the OOC system can achieve satisfactory control performances for the SFR process in both normal and partially faulty working conditions.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2012年第12期1565-1572,共8页
Control Theory & Applications
基金
国家自然科学基金资助项目(61104084
61290323)
国家自然科学基金重大国际X合作项目(61020106003)
国家重大基础计划基金资助项目(2009CB320601)
广东省产学研基金资助项目(2010B090400410)
关键词
竖炉焙烧(SFR)
优化控制
运行优化控制(OOC)系统
一体化运行控制平台
半实物仿真实验系统
shaft furnace roasting（SFR）
optimal control
operational optimization control（OOC） system
incorporate operational control platform
hardware-in-loop simulation experiment system
