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提高分布式多预测控制器协调及稳定性的鲁棒区域控制 被引量:1

Robust zone control for improving stability performance of distributed multiple model predictive coordination control
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摘要 大型复杂化工程过程控制中,常规的集中式控制方式不利于实时性、灵活性和容错控制。而采用多预测控制器协调的分布式控制是解决这一问题的有效方法:。针对子系统间的动态耦合行为严重影响多预测控制器协调以及稳定性的问题,提出一种鲁棒区域控制策略。即在每个子系统的目标函数中加入松弛因子增加控制器间协调时的余量来达到分布式预测控制的稳定性。通过以反应器-存储器分馏器组成的过程为事例,仿真结果:表明该方法:的可行性和有效性。 Distributed control is an more efficient approach to improve the performances including real-time performance, operation flexibility and fault-tolerant than centralized control strategies for control large scale complex process control. However, coupled dynamic behaviors between different subsystems are the main factors that effected the optimal cooperation of total subsystems, reliability and steady running for total process control system. In this study, Theoretical analysis combining experiment, simulation were used to study optimization coordination of different sub-controller via implement robust zone control strategy in distributed control in case of the emergence of dynamic coupled information change among subsystems. Some more feasible mechanisms were presented for communicating and coordinating among MPC controllers in order to achieve better coordination performance and stability in total process system via setting a optimal region margin index. The feasibility and efficiency of the proposed method was illustrated by a case., study, an experimental plant that consists of reactor, storage tank and separator is used.
出处 《计算机与应用化学》 CAS CSCD 北大核心 2012年第7期807-811,共5页 Computers and Applied Chemistry
基金 国家自然科学基金资助项(61064003 51165024) 甘肃省高等学校基本科研业务基金项目(1103ZTCl43) 甘肃省自然科学基金资助项目(0903ZTBl07)
关键词 分布式控制 大型复杂过程 多预测控制器协调 鲁棒区域控制 反应器-存储器-分馏器过程 distributed control large scale complex process, multiple model predictive coordination control, robustness region control, reactor-storage tank-separator process
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参考文献15

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