Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems

The aim of this work is to study the influence of the number of membership functions (MF) of fuzzy logic controller (FLC) on the temporal performances of dynamical systems. A second contribution to this idea is the introduction of the disturbance signal as an additional input to the FLC and this mak...

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Main Author: Abdelhamid DJARI
Format: Article
Language:English
Published: ICI Publishing House 2023-03-01
Series:Revista Română de Informatică și Automatică
Subjects:
Online Access:https://rria.ici.ro/wp-content/uploads/2023/03/art._Djari.pdf
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author Abdelhamid DJARI
author_facet Abdelhamid DJARI
author_sort Abdelhamid DJARI
collection DOAJ
description The aim of this work is to study the influence of the number of membership functions (MF) of fuzzy logic controller (FLC) on the temporal performances of dynamical systems. A second contribution to this idea is the introduction of the disturbance signal as an additional input to the FLC and this makes it possible to deliver a command taking into account the values of this undesirable signal. In order to illustrate the influence of the number of membership functions of an FLC, the angular position in a linear model of an Autonomous Underwater Vehicle (AUV) will be controlled around a given reference. The simulation results show that it is sufficient to limit the number of membership functions to a maximum of 5 MF and this is interpreted by the boundary fuzzy decision surface of the fuzzy control because there is no influence, in the case of adding other supplementary MFs, on the performances of the system.
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spelling doaj.art-5b7687fd82aa469ba6e9c309b5f698422023-04-05T05:20:37ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032023-03-013319310610.33436/v33i1y202308Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systemsAbdelhamid DJARI0Department of Electrical Engineering, Larbi Tebessi University, Tebessa, AlgeriaThe aim of this work is to study the influence of the number of membership functions (MF) of fuzzy logic controller (FLC) on the temporal performances of dynamical systems. A second contribution to this idea is the introduction of the disturbance signal as an additional input to the FLC and this makes it possible to deliver a command taking into account the values of this undesirable signal. In order to illustrate the influence of the number of membership functions of an FLC, the angular position in a linear model of an Autonomous Underwater Vehicle (AUV) will be controlled around a given reference. The simulation results show that it is sufficient to limit the number of membership functions to a maximum of 5 MF and this is interpreted by the boundary fuzzy decision surface of the fuzzy control because there is no influence, in the case of adding other supplementary MFs, on the performances of the system.https://rria.ici.ro/wp-content/uploads/2023/03/art._Djari.pdffuzzy logic controllermembership functionsfuzzy rulesautonomous underwater vehiclestemporal performances
spellingShingle Abdelhamid DJARI
Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
Revista Română de Informatică și Automatică
fuzzy logic controller
membership functions
fuzzy rules
autonomous underwater vehicles
temporal performances
title Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
title_full Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
title_fullStr Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
title_full_unstemmed Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
title_short Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
title_sort influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems
topic fuzzy logic controller
membership functions
fuzzy rules
autonomous underwater vehicles
temporal performances
url https://rria.ici.ro/wp-content/uploads/2023/03/art._Djari.pdf
work_keys_str_mv AT abdelhamiddjari influenceofthemembershipfunctionsnumberoffuzzylogiccontrollerontheperformancesofdynamicsystems