复杂工业过程运行优化与反馈控制  

Operational Optimization and Feedback Control for Complex Industrial Processes

作　　者：柴天佑[1] 

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,沈阳110819

出　　处：《自动化学报》2013年第11期1744-1757,共14页Acta Automatica Sinica

基　　金：国家重点基础研究发展计划(973计划)(2009CB320601)资助~~

摘　　要：过程控制不仅使被控对象的输出尽可能好地跟踪控制器设定值,而且要对整个工业装置的运行进行控制,使反映产品在该装置加工过程中质量、效率与消耗等指标,即运行指标在目标值范围内,尽可能提高质量与效率指标,尽可能降低消耗指标,即实现工业过程运行优化控制.本文在综述了已有的运行优化与控制方法的基础上,重点介绍了复杂工业过程的数据驱动的混合智能运行优化控制和运行控制半实物仿真系统,并以赤铁矿磨矿过程为应用研究案例,仿真实验和工业应用结果表明所提方法的有效性,并指出了复杂工业过程运行优化控制研究需要关注的问题.Process control should ensure not only controlled variables to follow their setpoint values, but also the whole process plant to meet operational requirements optimally （e.g., quality, efficiency and consumptions）. Process control should also enable operational indices for quality to and efficiency to be improved continuously, while keeping the indices related to consumptions at the lowest possible level. This paper starts with a survey on the existing operational optimiza- tion and control methodologies and then presents a data-driven hybrid intelligent optimal operational control for complex industrial processes where process operational models are difficult to obtain. Applications via a hybrid simulation system and an industrial grinding process for hematite ore mineral processing are presented to demonstrate the effectiveness of the proposed operational control method. Issues for future research on the optimal operational control for complex industrial processes are outlined before concluding the paper.

关 键 词：复杂工业过程 运行优化 运行反馈控制 运行指标预报 半实物仿真系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]