基于粗糙集理论的除氧系统智能控制器设计  

Design of an Intelligent Controller in a Deaerating System Based on a Rough Sets Theory

作　　者：曲延滨[1] 张扬[1] 

机构地区：[1]哈尔滨工业大学(威海)信息科学与工程学院,山东威海264209

出　　处：《热能动力工程》2006年第5期525-528,共4页Journal of Engineering for Thermal Energy and Power

摘　　要：阐述了除氧系统智能控制器的控制策略以及知识库的建立,以粗糙集理论为基础,对冗余属性进行了约简,从而获得最简知识库。给出了利用粗糙集理论建立知识库、设计智能控制器的方法。本文设计的智能控制器应用在某炼油厂动力站除氧系统改造中,实际运行表明,该控制器能够保证系统在启动过程、投切过程稳定运行,并且保证了除氧系统运行指标。Expounded is the control tactic and establishment of a knowledge database for an intelligent controller in a deaerating system.With a rough sets theory serving as a basis,redundant attributes have been simplified,resulting in a most simplified knowledge database.A method is presented for designing an intelligent controller and establishing a knowledge database by making use of the rough sets theory.The intelligent controller thus designed was once used in the modification of a deaerating system for a power-supply station affiliated to an oil refinery.The practical operation shows that the controller under discussion can guarantee the stable operation of the system during a start-up and switching-over process with operating indexes of the deaerating system being fulfilled.

关 键 词：除氧系统 智能控制 专家系统 粗糙集 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]