文章基本信息

标题：PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm
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作者：Abdullah Ates ; Jie Yuan ; Sina Dehghan 等
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：877-881
DOI：10.1016/j.ifacol.2018.06.113
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a multi-objective stochastic optimization method for tuning of the controller parameters of Refrigeration Systems based on Vapour Compression. Stochastic Multi Parameter Divergence Optimization (SMDO) algorithm is modified for minimization of the Multi Objective function for optimization process. System control performance is improved by tuning of the PI controller parameters according to discrete time model of the refrigeration system with multi objective function by adding conditional integral structure that is preferred to reduce the steady state error of the system. Simulations are compared with existing results via many graphical and numerical solutions.
关键词：KeywordsOptimizationstochasticSMDOvapour compression refrigeratorconditional integration