 Design and implementation of Adaptive Mixed Fuzzy Controller for MIMO nonlinear systemsB. Puviyarasi and C. Murukesh Mathematics and Computers in Simulation (MATCOM), 2023, vol. 203, issue C, 71-91 Abstract: The controller techniques for the Multiple-Input/Multiple-Output process is complex because of the difference in process dynamics that arise as a variation in process operating condition and the performance of non-linear dynamic coupling. In this work evolves real coded Genetic Algorithm tuned Adaptive Mixed Fuzzy Controller (AMFC) for Two Cylindrical Tank Interacting Level System (TCTILS). First, Adaptive Traditional Fuzzy Controller (ATFC) is developed and its output response is control action for every individual tank. Secondly, to reduce the coupling dynamics, a suitable Adaptive Coupling Fuzzy Controller (ACFC) is included into ATFC to reduce the coupling dynamic effect between each DOF. The real coded Genetic Algorithm (RGA) is used to compute the optimal scale factors for ATFC and ACFC. The simulation performance shows that the RGA tuned AMFC control scheme understands the proper dynamic behaviour of the system, a complete output response with minimum interaction and good disturbance rejection of external load. Keywords: Mixed fuzzy controller; Fuzzy logic controller; Real coded GA; Cylindrical Tank Interacting Level System (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:203:y:2023:i:c:p:71-91 DOI: 10.1016/j.matcom.2022.06.019 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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