{"title":"Application of Particle Swarm optimization for Tuning a Dynamic Sliding Mode Control for System With Inverse Response.","authors":"Kleber Patiño, D. Chávez, O. Camacho","doi":"10.1109/CCAC.2019.8921192","DOIUrl":null,"url":null,"abstract":"In this article an application of the algorithm of optimization based on swarm of particles (PSO) developed in [1] is presented, the same one that is based on the qualities of the system to have an optimal solution. Under this criterion is use for the tuning of a dynamic controller by sliding modes (DSMC), taking as a minimization function the ISE index, there will also be a comparison between the results obtained in [2] using a heuristic method tuning and the obtained in this article, for the case study we will have the control of concentration in the reactor CSTR.","PeriodicalId":184764,"journal":{"name":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAC.2019.8921192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this article an application of the algorithm of optimization based on swarm of particles (PSO) developed in [1] is presented, the same one that is based on the qualities of the system to have an optimal solution. Under this criterion is use for the tuning of a dynamic controller by sliding modes (DSMC), taking as a minimization function the ISE index, there will also be a comparison between the results obtained in [2] using a heuristic method tuning and the obtained in this article, for the case study we will have the control of concentration in the reactor CSTR.
本文介绍了[1]中提出的基于粒子群(swarm of particle, PSO)的优化算法的应用，该算法也是基于系统的性质来求最优解的。在此准则下，通过滑动模式(DSMC)对动态控制器进行调谐，将ISE指数作为最小化函数，还将比较[2]中使用启发式方法调谐获得的结果与本文中获得的结果，对于案例研究，我们将控制反应器CSTR中的浓度。
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