文章基本信息

标题：Optimal tuning rules for PI/PID controllers for inverse response processes
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作者：Mohammad Irshad ; Ahmad Ali
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：1
页码：413-418
DOI：10.1016/j.ifacol.2018.05.063
语种：English
出版社：Elsevier
摘要：AbstractIn this work, optimal tuning rules for PI/PID controllers for stable and integrating first-order inverse response processes are reported. Integral performance criteria (ISTE, IST2E and IST3E) have been minimized using Particle Swarm Optimization (PSO), an evolutionary optimization technique, to get optimal controller parameters. For integrating process model, set-point filter is used for reducing large overshoot. For nominal conditions, simulation results show significant improvement in both servo and regulatory performances. The optimal controllers also give good robust control performances during model-mismatch conditions.
关键词：KeywordsOptimalPI/PID controllersinverse responseintegral performance criteriaservo