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Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study

IAES International Journal of Artificial Intelligence · Vol. 13 No. 1 (2024) · hlm. 631–638

DOI
10.11591/ijai.v13.i1.pp631-638
ISSN
2252-8938, 2089-4872
Terbit
2024-03-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Wastewater treatment plants (WWTPs) are plagued by nonlinearities, uncertainties, and disturbances that degrade control performance and may even lead to severe instability. The WWTP control issue has received a lot of research and development during the last several decades. One well-known way of designing a resilient control system is called sliding mode control (SMC). The SMC's greatest strength lies in its innate resistance to disturbances and uncertainty. Incorporating fuzzy SMC would eliminate the chattering effect, the primary drawback of traditional sliding-mode controller, without sacrificing robustness against parametric uncertainties, modeling errors, and variable dynamic loads. This article discusses the hybridization of fuzzy logic with sliding mode control to provide highly excellent stability and accuracy in a control system. As a means of optimizing the fuzzy SMC, the gradient-free optimization technique known as the Jaya algorithm is investigated. By repeatedly altering a population of individual solutions, this population-based method can deal with both limited and unbounded optimization issues.

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23 penulis · 55 tautan kepenulisan bersama · 13 lintas organisasi

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  • Jain University
  • Sahyadri College of Engineering & Management
  • Nitte University
  • KLS Gogte Institute of Technology
  • AISSMS Institute of Information Technology
  • SRM Institute of Science and Technology
  • M. Kumarasamy College of Engineering
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Rekan penulisOrganisasiArtikel bersama
Abdul KareemAfiliasi tidak diketahui4
Sanjana PoojaryAfiliasi tidak diketahui1
T ThilagrajAfiliasi tidak diketahui1
Utkrishna Udesh NaikAfiliasi tidak diketahui1
R BharathAfiliasi tidak diketahui1
Melwin D SouzaSahyadri College of Engineering & Management1
Ananth Prabhu GurpurAfiliasi tidak diketahui1
Ranjith BhatJain University1
Rajashree NambiarNitte University1
Akshatha NaikAfiliasi tidak diketahui1
Ashwini AshwiniAfiliasi tidak diketahui1
Navilgone Krishna VaishnaviAfiliasi tidak diketahui1
Ruchitha Kamath SubhashchandraAfiliasi tidak diketahui1
Trapthi TrapthiAfiliasi tidak diketahui1
Ms P. ShruthiJain University1
Chandra Shekar S. M.Afiliasi tidak diketahui1
Altaf Osman MulaniAISSMS Institute of Information Technology1
Swapna SiddamsettiKLS Gogte Institute of Technology1
Melwin D SouzaAfiliasi tidak diketahui1
S SubbaiahSRM Institute of Science and Technology1
S. RamyaM. Kumarasamy College of Engineering1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study</dc:title>
	<dc:creator>Kumara, Varuna</dc:creator>
	<dc:creator>Ganesan, Ezhilarasan</dc:creator>
	<dc:subject xml:lang="en-US">Fuzzy Logic; JAYA algorithm</dc:subject>
	<dc:subject xml:lang="en-US">Fuzzy logic; Jaya algorithm; Optimization; Sliding mode controller; Wastewater treatment plants;</dc:subject>
	<dc:description xml:lang="en-US">Wastewater treatment plants (WWTPs) are plagued by nonlinearities, uncertainties, and disturbances that degrade control performance and may even lead to severe instability. The WWTP control issue has received a lot of research and development during the last several decades. One well-known way of designing a resilient control system is called sliding mode control (SMC). The SMC's greatest strength lies in its innate resistance to disturbances and uncertainty. Incorporating fuzzy SMC would eliminate the chattering effect, the primary drawback of traditional sliding-mode controller, without sacrificing robustness against parametric uncertainties, modeling errors, and variable dynamic loads. This article discusses the hybridization of fuzzy logic with sliding mode control to provide highly excellent stability and accuracy in a control system. As a means of optimizing the fuzzy SMC, the gradient-free optimization technique known as the Jaya algorithm is investigated. By repeatedly altering a population of individual solutions, this population-based method can deal with both limited and unbounded optimization issues.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Moodlakatte Institute of Technology, Kundapura</dc:contributor>
	<dc:date>2024-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/23372</dc:identifier>
	<dc:identifier>10.11591/ijai.v13.i1.pp631-638</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 1: March 2024; 631-638</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v13.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/23372/13865</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>