标题:PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm
作者:Ates, Abdullah; Yuan, Jie; Dehghan, Sina; Zhao, Yang; Yeroglu, Celaleddin; Chen, YangQuan
作者机构:[Ates, Abdullah; Yeroglu, Celaleddin] Inonu Univ, Dept Comp Engn, TR-44280 Malatya, Turkey.; [Yuan, Jie] Southeast Univ, Sch Automat, Nanjing 210096 更多
会议名称:3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID)
会议日期:MAY 09-11, 2018
来源:IFAC PAPERSONLINE
出版年:2018
卷:51
期:4
页码:877-881
DOI:10.1016/j.ifacol.2018.06.113
关键词:Optimization; stochastic; SMDO; vapour compression refrigerator;; conditional integration
摘要:This 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. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048777235&doi=10.1016%2fj.ifacol.2018.06.113&partnerID=40&md5=ecb465c02294c19368977a4506ed31bf
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