自动化学报Issue(5)：928-935,8.DOI:10.16383/j.aas.2015.c140719
基于MMTMV方法的多变量时变扰动系统性能评估
Performance Assessment of MIMO System with Time-variant Disturbances Based on MMTMV Method
摘要
Abstract
Performance assessment of industrial processes is related to industrial production safety and benefit. It is widely acknowledged that most of the industry processes are time-varying and influenced by several disturbances. There is no available method to assess the performance of the MIMO system with time-variant disturbances. A multi-model mixing time-variant minimum variance (MMTMV) method of MIMO is proposed in this paper to solve the problem. First, a multivariable MMTMV controller is obtained based on the properties of time-variant disturbances and the weights gained by the action times of disturbances. Then each output variance of the MIMO system employing the multivariable MMTMV controller is derived and the average variance of all controlled variables is utilized as the benchmark to assess the performance of the MIMO system with time-variant disturbances. Finally, the effectiveness of MMTMV is verified in the CPA of a cracking process and a distillation process.关键词
多变量/时变扰动/多模型混合/最小方差Key words
Multivariable/time-variant disturbances/multi-model mixing/minimum variance引用本文复制引用
刘春平,王昕,王振雷..基于MMTMV方法的多变量时变扰动系统性能评估[J].自动化学报,2015,(5):928-935,8.基金项目
国家重点基础研究发展计划(973计划)(2012CB720500),国家自然科学基金(61134007,61222303),上海市科技攻关项目(12dz1125100),上海市科学技术委员会(13111103800),上海市自然科学基金(14ZR1421800),流程工业综合自动化国家重点实验室开放课题基金(PAL-N201404)资助Supported by National Basic Research Program of China (973 Program)(2012CB720500), National Natural Science Founda-tion of China (61134007,61222303), Shanghai Science and Tech-nology Research Project (12dz1125100), Shanghai Science and Technology Committee (13111103800), Shanghai Natural Sci-ence Foundation (14ZR1421800), and State Key Laboratory of Synthetical Automation for Process Industries (PAL-N201404)本文责任编委阳春华 （973计划）
