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  • 标题:PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm
  • 本地全文:下载
  • 作者:Abdullah Ates ; Jie Yuan ; Sina Dehghan
  • 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
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