{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:49:01Z","timestamp":1777704541990,"version":"3.51.4"},"reference-count":15,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T00:00:00Z","timestamp":1531353600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,11,20]]},"abstract":"<jats:p>The usage of water treatment technologies is increasing at a rapid rate due to scarcity of pure water in the world. This paper proposes controller design using grey wolf optimization (GWO) algorithm for water treatment plants. Doha reverse osmosis (RO) water treatment plant is considered for the experimental purpose. Proportional-integral-derivative (PID) controller is designed for the considered Doha RO plant. The proposed method can minimize the error criterion in such a way that good transient responses for flux and conductivity are obtained. To show the efficacy of GWO based controller, other state-of-art optimization techniques are also used for tuning of controller parameters. Comparative simulations show that GWO algorithm is more efficient and suitable over other algorithms for tuning the parameters of controller for Doha RO water treatment plant.<\/jats:p>","DOI":"10.3233\/jifs-169815","type":"journal-article","created":{"date-parts":[[2018,7,13]],"date-time":"2018-07-13T13:33:44Z","timestamp":1531488824000},"page":"5329-5336","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":35,"title":["Controller design for Doha water treatment plant using grey wolf optimization"],"prefix":"10.1177","volume":"35","author":[{"given":"Natwar S.","family":"Rathore","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Institute of Technology Raipur, CG, India"}]},{"given":"V.P.","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Institute of Technology Raipur, CG, India"}]},{"given":"Bhavnesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Instrumentation and Control, Netaji Subhash Institute of Technology, Delhi, India"}]}],"member":"179","published-online":{"date-parts":[[2018,7,12]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.desal.2014.03.014"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.desal.2005.10.033"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1367-5788(01)00005-0"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0011-9164(01)00138-2"},{"key":"e_1_3_1_6_2","first-page":"1368","article-title":"Optimal control of a reverse osmosis desalination plant using multi-objective optimization, in","author":"Gambier A.","year":"2006","unstructured":"GambierA., et al., Optimal control of a reverse osmosis desalination plant using multi-objective optimization, in2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006, pp. 1368\u20131373.","journal-title":"2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control"},{"key":"e_1_3_1_7_2","first-page":"384","article-title":"Auto tuning PID controller based on improved genetic algorithm for reverse osmosis plant","volume":"47","author":"Kim J.-S.","year":"2008","unstructured":"KimJ.-S., et al., Auto tuning PID controller based on improved genetic algorithm for reverse osmosis plant, World Academy of Science, Engineering and Technology47 (2008), 384\u2013389.","journal-title":"World Academy of Science, Engineering and Technology"},{"key":"e_1_3_1_8_2","first-page":"2972","article-title":"Simulation of reverse osmosis plant using RCGA based PID controller","author":"Park J.","year":"2009","unstructured":"ParkJ., et al., Simulation of reverse osmosis plant using RCGA based PID controller, in ICCAS-SICE, 20092009, pp. 2972\u20132976.","journal-title":"ICCAS-SICE, 2009"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.5004\/dwt.2009.922"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1080\/00986445.2013.828606"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/0011-9164(89)85009-X"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690160209"},{"key":"e_1_3_1_14_2","volume-title":"Introduction to Stochastic Control Theory","author":"\u00c5str\u00f6m K.","year":"1970","unstructured":"\u00c5str\u00f6mK., Introduction to Stochastic Control Theory, New York, 1970."},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1975.1100953"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2291-y"}],"container-title":["Journal of Intelligent &amp; 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