文章基本信息

标题：A data-driven approach to MIMO PID tuning via LMI constraints
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作者：Anna Paula V de A Aguiar ; George Acioli ; Péricles R Barros 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：20
页码：573-578
DOI：10.1016/j.ifacol.2021.11.233
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a multi-input multi-output proportional integral derivative controller tuning technique using frequency-domain data is proposed. The problem is formulated using loop shaping performance specifications and the bounds on the control signal magnitude as constraints. The result is a convex-concave optimization problem. This is convexified by linearization of the concave part. The problem is solved using some LMI solver. Simulation results show the effectiveness of the proposed technique.
关键词：KeywordsMIMO PIDcontroller designdata-driven controlconvex optimizationlinear matrix inequalities