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标题：Applications of an Optimal Multi-Objective Technique for Integrated Control Structure Selection and Tuning
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作者：Juliani C.G. Rodrigo ; Claudio Garcia
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：7517-7522
DOI：10.1016/j.ifacol.2017.08.1185
语种：English
出版社：Elsevier
摘要：AbstractThe controller tuning affects the control performance as much as the input/output (I/O) pairing. Thus, an optimal tuning should be sought simultaneously with the best I/O pairing, and not after the pairing has been defined. An optimal multi-objective technique for integrated control structure selection and tuning is proposed and applied to industrial benchmarks. The technique integrates the tasks of I/O pairing and controller tuning, and supports any multi-objective specification. It allows the direct employment of complex specifications of control problems, solving the I/O pairing problem simultaneously with the tuning problem. The technique is applied to two industrial benchmarks, a 3x7 heavy oil fractionator (HOF) and a 6x7 fluid catalytic cracking (FCC) units. The examples demonstrate the complete control project, including the PID I/O pairings, controller tuning, system identification and MPC implementation.
关键词：Keywordsplantwide controlcontrol structure selectioncontroller tuningI/O pairingoptimal controloptimizationmulti-objective optimizationindustrial benchmarks