文章基本信息

标题：Dual robust control of batch processes based on optimality-conditions parameterization
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作者：Radoslav Paulen ; Miroslav Fikar
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：774-779
DOI：10.1016/j.ifacol.2018.09.269
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a scheme for dual robust control of batch processes under parametric uncertainty. Some recently proposed approaches can be used to tackle this problem, however, this will be done at the price of conservativeness or significant computational burden. In order to increase computational efficiency, we propose a scheme that uses parametrized conditions of optimality in the adaptive predictive-control fashion. The dual features of the controller, i.e., balance between the control moves that excite the system to improve accuracy of the parameter estimation and between the moves that optimize process performance, is realized through scenario-based (multi-stage) approach, which allows for modeling of the adaptive robust decision problem and for projecting this decision into predictions of the controller. The proposed approach is illustrated on a case study from batch membrane filtration.
关键词：KeywordsPredictive controlAdaptive controlRobust controlBatch controlPontryagin’s minimum principleMembrane separationParameter estimation