连续重整装置闭锁料斗迭代学习控制器的设计与实施被引量：3

Design and Application of Lock Hopper Iterative Learning Controller in Continuous Catalyst Regeneration Plant

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摘要闭锁料斗控制是连续重整装置实现催化剂正常循环的一个核心技术,被国外专有系统所垄断。根据闭锁料斗循环操作的特点,结合现有的PID控制,采用迭代学习控制算法设计了闭锁料斗学习控制器,并在现有的DCS平台上进行了实现。经过实际生产测试,控制效果良好,验证了闭锁料斗迭代学习控制器的可行性,为开发国产化的闭锁料斗控制系统创造了条件。 Lock hopper controller（LHC） is one of the key technologies in continuous catalyst regeneration（CCR） plant.However,it is still monopolized by the international large company.Based on the principle of learning mode in LHC,a lock hopper iterative learning controller（LHILC） is proposed by combining iterative learning control（ILC） with traditional PID control.The LHILC system is established by using DCS platform and tested in the real CCR plant.The performance of the proposed LHILC is good,and the feasibility of the LHILC has been proved.

作者钟传东熊智华刘彦波

机构地区中国石油化工股份有限公司北京燕山分公司清华大学自动化系

出处《江南大学学报（自然科学版）》 CAS 2010年第5期526-530,共5页 Joural of Jiangnan University (Natural Science Edition)　

基金国家自然科学基金项目(60874049)

关键词迭代学习控制闭锁料斗连续重整分布式控制系统 iterative learning control lock hopper continuous catalyst regeneration distributed control system

分类号 TP273 [自动化与计算机技术—检测技术与自动化装置]

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