文章基本信息

标题：When is PID a good choice?
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作者：Kristian Soltesz ; Anton Cervin
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：4
页码：250-255
DOI：10.1016/j.ifacol.2018.06.074
语种：English
出版社：Elsevier
摘要：AbstractA new and freely available model-based PID design tool for Matlab is introduced. It can be used to solve Maximal Integral Gain Optimization (MIGO) and (load) Integral Absolute Error (IAE) problems. Robustness is ensured through H∞constraints on the closed-loop transfer functions. A Youla parameter (Q design) method for comparison with the optimal linear time-invariant (LTI) controller for the considered IAE optimization problem is presented. Several realistic design examples are provided, in which the tool is used to compare achievable PID and optimal LTI controller performance, to illustrate whether PID is a good choice for a given combination of process dynamics and closed-loop robustness requirements.
关键词：KeywordsPID controlYoula parametrizationcontrol performanceconstrained optimization