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Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation
Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma
Article type: Research Article
Authors: Rathore, Natwar S.a; * | Singh, V.P.a | Kumar, Bhavneshb
Affiliations: [a] Department of Electrical Engineering, National Institute of Technology Raipur, CG, India | [b] Department of Instrumentation and Control, Netaji Subhash Institute of Technology, Delhi, India
Correspondence: [*] Corresponding author. Natwar S. Rathore, Electrical Engineering Department, National Institute of Technology, Raipur, CG, India. Tel.: +91 9462658092; E-mail: natwarsmertia@gmail.com.
Abstract: 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.
Keywords: Conductivity, flux, grey wolf optimization (GWO), PID controller, reverse osmosis (RO), water treatment plant
DOI: 10.3233/JIFS-169815
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5329-5336, 2018
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