{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:37:13Z","timestamp":1781105833800,"version":"3.54.1"},"reference-count":29,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,4,1]]},"abstract":"<p>The Proportional Integral Derivative (PID) controller is the most widely used industrial device to monitoring and controlling processes. There are numerous methods for estimating the controller parameters, in general, resolving particular cases. Current trends in parameter estimation minimize an integral performance criterion. Therefore, the calculation of the controller parameters is proposed as an optimization problem. Although there are alternatives to the traditional rules of tuning, there is not yet a study showing that the use of heuristic algorithms it is indeed better than using the classic methods of optimal tuning. In this paper, the evolutionary algorithm MAGO is used as a tool to optimize the controller parameters. The procedure is applied to a range of standard plants modeled as a Second Order System plus Time Delay. Better results than traditional methods of optimal tuning, regardless of the operating mode of the controller, are yielded.<\/p>","DOI":"10.4018\/ijncr.2014040103","type":"journal-article","created":{"date-parts":[[2014,8,22]],"date-time":"2014-08-22T11:42:30Z","timestamp":1408707750000},"page":"40-58","source":"Crossref","is-referenced-by-count":2,"title":["SOSPD Controllers Tuning by Means of an Evolutionary Algorithm"],"prefix":"10.4018","volume":"4","author":[{"given":"Jes\u00fas-Antonio","family":"Hern\u00e1ndez-Riveros","sequence":"first","affiliation":[{"name":"Facultad de Minas, Universidad Nacional de Colombia, Medell\u00edn, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge-Humberto","family":"Urrea-Quintero","sequence":"additional","affiliation":[{"name":"Facultad de Minas, Universidad Nacional de Colombia, Medell\u00edn, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijncr.2014040103-0","unstructured":"Alfaro Ru\u00edz, V. (2002). Tuning methods for PID controllers operating as regulators (in Spanish). Revista Ingenier\u00eda, 12(1-2). School of Electrical Engineering, University of Costa Rica."},{"key":"ijncr.2014040103-1","unstructured":"Alfaro Ru\u00edz, V. (2003). Tuning methods for PID controllers operating as servos (in Spanish). Revista Ingenier\u00eda, 13(1-2). School of Electrical Engineering, University of Costa Rica."},{"key":"ijncr.2014040103-2","author":"K. J.Astrom","year":"1995","journal-title":"PID controllers: Theory, design and tuning"},{"key":"ijncr.2014040103-3","doi-asserted-by":"publisher","DOI":"10.1021\/i260057a007"},{"key":"ijncr.2014040103-4","doi-asserted-by":"publisher","DOI":"10.1080\/02533839.2004.9670890"},{"key":"ijncr.2014040103-5","author":"J.Desanti","year":"2004","journal-title":"Robustness of tuning methods of based on models of first-order plus dead time PI and PID controllers"},{"key":"ijncr.2014040103-6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2009.5138538"},{"key":"ijncr.2014040103-7","doi-asserted-by":"publisher","DOI":"10.1016\/S0967-0661(02)00081-3"},{"key":"ijncr.2014040103-8","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-32494-1_4"},{"key":"ijncr.2014040103-9","first-page":"1","article-title":"Computer-aided tuning of analog and digital controllers.","volume":"21","author":"G. A.Hassan","year":"1993","journal-title":"Control and Computers"},{"key":"ijncr.2014040103-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcm.2010.03.024"},{"key":"ijncr.2014040103-11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34654-5_28"},{"key":"ijncr.2014040103-12","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-0578(07)60102-5"},{"key":"ijncr.2014040103-13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.12.033"},{"key":"ijncr.2014040103-14","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2011.5968215"},{"key":"ijncr.2014040103-15","unstructured":"Lagunas, J. (2004). Tuning of PID controllers using a multi-objective genetic algorithm, (NSGA-II) (in Spanish) (Doctoral dissertation). Department of Automatic Control. Research and advanced studies Center."},{"key":"ijncr.2014040103-16","doi-asserted-by":"publisher","DOI":"10.1016\/S0967-0661(01)00064-8"},{"key":"ijncr.2014040103-17","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-32494-1"},{"key":"ijncr.2014040103-18","author":"D. C.Montgomery","year":"2008","journal-title":"Introduction to statistical quality control"},{"key":"ijncr.2014040103-19","author":"J.Mora","year":"2004","journal-title":"Performance and robustness of the methods for based on second order models plus dead time tuning PID controllers"},{"key":"ijncr.2014040103-20","doi-asserted-by":"publisher","DOI":"10.1142\/9781848162433"},{"key":"ijncr.2014040103-21","unstructured":"Saad, M. S., Jamaluddin, H., & Darus, I. Z. M. (2012a). PID Controller Tuning Using Evolutionary Algorithms. WSEAS Transactions on Systems and Control, 7(4)."},{"issue":"11","key":"ijncr.2014040103-22","first-page":"7761","article-title":"Implementation of PID controller tuning using differential evolution and genetic algorithms.","volume":"8","author":"M. S.Saad","year":"2012","journal-title":"International Journal of Innovative Computing, Information, & Control"},{"key":"ijncr.2014040103-23","doi-asserted-by":"publisher","DOI":"10.1145\/1068009.1068219"},{"key":"ijncr.2014040103-24","author":"E.Solera Sabor\u00edo","year":"2005","journal-title":"PI \/ PID controller tuning with IAE and ITAE criteria for double pole plants"},{"key":"ijncr.2014040103-25","doi-asserted-by":"publisher","DOI":"10.1252\/jcej.29.990"},{"key":"ijncr.2014040103-26","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2007.4424876"},{"key":"ijncr.2014040103-27","doi-asserted-by":"publisher","DOI":"10.1016\/S0950-5849(01)00188-4"},{"key":"ijncr.2014040103-28","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-129-5"}],"container-title":["International Journal of Natural Computing Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=113295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T01:20:15Z","timestamp":1654132815000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijncr.2014040103"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2014,4,1]]},"references-count":29,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijncr.2014040103","relation":{},"ISSN":["1947-928X","1947-9298"],"issn-type":[{"value":"1947-928X","type":"print"},{"value":"1947-9298","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,4,1]]}}}