ANALYZING AND OPTIMIZING PI CONTROLLER METHODS FOR TWO TANK SYSTEM: A LABORATORY-BASED STUDY

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dc.citation.epage188
dc.citation.spage181
dc.citation.volume7
dc.contributor.authorRajaraman, Janani
dc.contributor.authorProdanović, Saša
dc.contributor.authorChittaluri, Sai Phani Chandra
dc.contributor.authorDubonjić, Ljubiša
dc.contributor.authorStojanović, Vladimir
dc.contributor.editorMarković, Biljana
dc.contributor.editorMilutinović, Miroslav
dc.contributor.editorMilić, Davor
dc.date.accessioned2025-02-24T10:55:51Z
dc.date.available2025-02-24T10:55:51Z
dc.date.issued2024-11
dc.description.abstractThis research paper presents a comprehensive investigation into the design, analysis, and optimization of Proportional-Integral (PI) controller methods for interacting systems, conducted through laboratory experimentation. The study aims to enhance the performance and stability of PI controllers by exploring various tuning methods and strategies tailored to address the intricacies of interacting systems. Through a series of experimental setups in the laboratory environment, different PI controller tuning techniques are systematically evaluated, including modern optimization algorithms such as Genetic Algorithms, Particle Swarm Optimization and Ant Colony Optimization. The effectiveness of each tuning approach is assessed based on key performance metrics, including settling time, overshoot and steady-state error. Furthermore, the study investigates the robustness of the optimized PI controllers against parameter variations and disturbances commonly encountered in real-world systems. Comparative analysis and statistical evaluation are employed to identify the most suitable tuning method for achieving robust and reliable control performance in interacting system.
dc.identifier.isbn978-99976-085-2-9
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/1424
dc.language.isoen
dc.publisherMašinski fakultet, Univerzitet Istočno Sarajevo
dc.sourceProceedings, International Scientific Conference "Conference on Mechanical Engineering Technologies and Applications" COMETa 2024
dc.subjectGenetic Algorithm, Interacting Systems, Level Control, Proportional Integral Controller, Particle Swarm Optimization
dc.titleANALYZING AND OPTIMIZING PI CONTROLLER METHODS FOR TWO TANK SYSTEM: A LABORATORY-BASED STUDY
dc.typeArticle
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Машински факултет [Конференције] / Faculty of Mechanical Engineering [Conference paper]