摘要
常减压装置生产流程长、控制回路多,优化其控制性能对于原油加工意义重大。在某10Mt/a常减压装置上,严格定义自控率的概念,通过OPC采集过程实时数据,并应用先进的软件来客观诊断和评价其控制性能。基于诊断的结果,使用子空间方法及ARX模型从生产过程的实时数据中辨识过程动态模型,然后使用内模控制的方法来整定PID参数,优化控制回路的性能。整定过程中,无需对装置施加额外干扰,不影响装置的正常运行,提高了常减压装置的自控率,提高了其自动化水平。
Atmospheric vacuum unit owns long production process and more control loup in oil refinery. It is of great importance for refining crude oil to optimize the control performance. Automation rate is defined strictly and advanced software is used to diagnose and estimate its control performance. Internal model control method is used to adjust PID parameters and optimize the performance of control loops based on diagnosing results. There are no interfering with the unit and no influences for normal production during the whole period. The result shows automation rate is increased and automation level is improved in atmospheric vacuum unit.
出处
《石油化工自动化》
CAS
2013年第2期37-40,共4页
Automation in Petro-chemical Industry
关键词
常减压
自控率
参数整定
内模控制
atmospheric vacuum
automation rate
parameter adjusting
internal model control
