文献类型：期刊文献

中文题名：基于多模型混合最小方差控制的时变扰动控制系统性能评估

英文题名：Performance Assessment of Control Loop with Time-variant Disturbance Dynamics Based on Multi-model Mixing Minimum Variance Control

作者：张巍[1];王昕[2];王振雷[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237;[2]上海交通大学电工与电子技术中心,上海200240

年份：2014

卷号：40

期号：9

起止页码：2037

中文期刊名：自动化学报

外文期刊名：Acta Automatica Sinica

收录：CSTPCD;;EI(收录号：20144200113105);Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；PubMed;

基金：国家重点基础研究发展计划(973计划)(2012CB720500);国家自然科学基金重点项目(61134007);国家自然科学基金(61203157;61222303);中央高校基本科研业务费专项资金;上海市科技攻关项目(12dz1125100);十二五国家科技支撑计划项目(2012BAF05B00);上海市重点学科建设项目(B504);流程工业综合自动化国家重点实验室开放课题基金资助~~

语种：中文

中文关键词：多模型;混合;最小方差;时变扰动;性能评估

外文关键词：Multiple models, mixing, minimum variance, time-variant disturbance, performance assessment

摘要：在实际工业过程中,控制系统经常会受到时变扰动的影响,致使针对单一扰动模型设计的最小方差控制准则不再适用于评估时变扰动控制系统的性能.当多个扰动信号同时出现时,采用常规多模型切换方法会发生间歇切换进而产生较大的暂态误差,不能准确评估系统当前性能.针对上述问题,本文提出了一种基于多模型混合最小方差控制准则的性能评估方法.首先根据每个扰动模型分别制定最小方差控制器,组成多模型最小方差控制器,然后在每个时间点混合多模型最小方差控制器,并将在其作用下的输出方差作为最终的性能评估基准,该方法既充分考虑到每个扰动的特性,又避免了常规多模型切换方法因间歇切换而产生的暂态误差对评估结果准确性带来的影响,实现了准确、可靠地评估时变扰动控制系统的性能.通过仿真,验证了基于多模型混合最小方差控制准则的性能评估方法的有效性.
In an actual industrial process, the control system is often affected by the time-variant disturbances, so the minimum variance control design based on a single disturbance model as the benchmark is no longer useful to assess the time-variant disturbance control loop performance. If several disturbances appear at the same time, a conventional method of multi-model switching could result in intermittent switching and a larger transient error, failing to evaluate the current system performance accurately. Therefore this paper proposes a multi-model mixing minimum variance control for performance assessment. Firstly, one minimum variance controller is designed for each disturbance characteristic, such that a multiple model minimum variance controller can be formed. Then at each time point, multiple minimum variance controllers are mixed, and the output variance is the final performance evaluation benchmark. This method fully considers the feature of each disturbance and avoids the intermittent switching and larger transient error caused by the conventional multi-model switching method, realize accurate of and reliable assess of the time-variant disturbance performance. Finally, the effectiveness of the multi-model mixing minimum variance control as the benchmark to assess time-variant disturbance control systems is verified through simulations.