To avoid mathematical complexity, Interval T2FSs (IT2FSs) have been pertained in majority of the fields. Type-2 Fuzzy sets (T2FSs) handle a greater modelling and uncertainties which exist in the real world applications especially in control systems. One of the important components which influence the fuzzy controller is the triangular norms which are the aggregation operators. For getting the stability of a control system T Norm operator can be preferred. Gaussian Interval Type-2 Membership Function (GIT2MF) has been used in this paper. Also mathematical properties of aggregation operator are proved using Gaussian Interval Type-2 Weighted Arithmetic (GIT2WA) Operator. The aim of this work is analyzing the stability of an inverted pendulum using Interval Type-2 Fuzzy Logic controller (IT2FLC) and the results are compared with traditional Proportional Integrated Derivative (PID) Controller. It is observed that IT2FL controller gives better stability under imprecise condition.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Intelligent System Stability using Type-2 Fuzzy Controller


    Beteiligte:
    D, Nagarajan (Autor:in) / M, Lathamaheswari (Autor:in) / Jacob, KaviKumar (Autor:in) / E, Deenadayalan (Autor:in)

    Erscheinungsdatum :

    05.05.2019


    Anmerkungen:

    International Journal of Integrated Engineering; Vol 11 No 1 (2019) ; 2600-7916 ; 2229-838X


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Intelligent braking system using fuzzy logic and sliding mode controller

    Naderi, Peyman / Naderipour, Amir R. / Mirsalim, Mojtaba et al. | Tema Archiv | 2010


    A brief fuzzy controller for an intelligent tracking system

    Qu,S. / Liu,X. / Wang,Q. et al. | Kraftfahrwesen | 2013


    A Fuzzy Logic Controller for an Intelligent Tires System

    Zhang, X. / Wang, Z. / Li, W. et al. | British Library Conference Proceedings | 2005


    A fuzzy logic controller for an intelligent tires system

    Xiangwen Zhang, / Zhixue Wang, / Wei Li, et al. | IEEE | 2005


    Improved Stability Precision of Fuzzy Controller

    Lianping, B. / Xiuzhen, C. / Shao, Z. | British Library Online Contents | 2001