文章基本信息

标题：Maximum-likelihood extremum seeking control of microalgae cultures
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作者：Laurent Dewasme ; Alain Vande Wouwer ; Christian Gabin Feudjio Letchindjio 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：3
页码：336-341
DOI：10.1016/j.ifacol.2021.08.264
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes a model-free extremum seeking control (ESC) approach to optimize the productivity of continuous cultures of microalgae, considering the dilution rate and the light intensity as manipulated variables, and the biomass concentration as single measurement. The resulting two-input single-output optimization problem is first solved using a recursive least-squares strategy based on the representation of the process by a Hammerstein block-oriented model. In order to face the presence of noise on the regressor variables (input and output signals), the problem is then reformulated as a maximum-likelihood estimation problem, which is solved on a moving horizon. Simulation results demonstrate the method performance.
关键词：Keywordsreal-time optimizationoptimal controlparameter estimationleast-squaresbiotechnology