Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations

first_page Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessAbstract Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations † by Himanshukumar Rajendrabhai PatelHimanshukumar Rajendrabhai Patel SciProfiles Scilit Preprints.org Google Scholar Department of Instrumentation and Control, Faculty of Technology, Dharmsinh Desai University, Nadiad 387001, Gujarat, India † Presented at the 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering (ECP 2024), 29–31 May 2024; Available online: https://sciforum.net/event/ECP2024. Proceedings 2024, 105(1), 29; https://doi.org/10.3390/proceedings2024105029 Published: 28 May 2024 (This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering) Download keyboard_arrow_down Download PDF Download PDF with Cover Download XML Download Epub Versions Notes Keywords: cuckoo search optimization algorithm; interval type 2 fuzzy logic controller; perturbation; benchmark control problem New metaheuristic algorithms have recently been created based on Lévy Flight (LF), drawing inspiration from biological and natural events. Many researchers have adopted this nature-inspired approach to algorithm creation in order to solve optimization challenges. These algorithms have been tested against standard algorithms and have proven to be superior in a variety of complicated problems. One of the most powerful aspects of Cuckoo Search (CS) is the use of Lévy steps to generate fresh possibilities. This approach modifies possible solutions by causing a large number of changes and a few major transitions. As a consequence of this, CS will be able to greatly improve its research skills while also increasing the connection between exploration and exploitation. In this research, the Interval Type-2 Fuzzy Logic Controller (IT2FLC) is introduced to the typical Cuckoo Search Optimization (CSO) algorithm to ascertain the optimal membership function (MF) parameters of Interval Type-2 Fuzzy Logic Systems (IT2FLSs). The investigation considers two types of MFs: triangle and trapezium. Whenever disturbances are used to execute each control issue, the CSO algorithm′s performance and efficacy boost dramatically. Two standard control problems are used to evaluate the suggested method: one is a tank level controller and the other is an inverted pendulum controller. The primary purpose is to demonstrate the effectiveness of the CSO algorithm in locating suitable fuzzy controllers for nonlinear plants. All control problems consider two forms of disturbance. The CSO algorithm produces good results in the field of fuzzy logic controllers (FLCs), according to the findings. FundingThis research received no external or internal funding.Institutional Review Board StatementNot applicable.Informed Consent StatementNot applicable.Data Availability StatementNot applicable.Conflicts of InterestThe author declares no conflict of interest.Disclaimer/Publisher's Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. © 2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Patel, H.R. Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations. Proceedings 2024, 105, 29. https://doi.org/10.3390/proceedings2024105029 AMA Style Patel HR. Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations. Proceedings. 2024; 105(1):29. https://doi.org/10.3390/proceedings2024105029 Chicago/Turabian Style Patel, Himanshukumar Rajendrabhai. 2024. "Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations" Proceedings 105, no. 1: 29. https://doi.org/10.3390/proceedings2024105029 Article Metrics No No Article Access Statistics Multiple requests from the same IP address are counted as one view.