The LQR control of inverted pendulum has been reported to be very effective in nature. Since the weighting matrices of LQR are arbitrary and can be chosen to improve the performance of inverted pendulum. This paper presents the application of three optimization algorithms for obtaining the weighting matrix Q used in LQ control of inverted pendulum. These are Genetic Algorithm (GA), Artificial Bee Colony (ABC) and Ant Colony optimization (ACO) Algorithms. With the help of simulation exercise the comparative performance of inverted pendulum has been demonstrated using optimized values of weighting matrices. From the results the performance of pendulum has much improved when LQ control is obtained using ACO.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Performance Improvement of Inverted Pendulum using Optimization Algorithms


    Beteiligte:


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    1707198 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    INVERTED PENDULUM VEHICLE

    INADA JUN / YOSHINO TSUTOMU / YADA WATARU et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    Inverted pendulum vehicle

    HIRABAYASHI YUTAKA / HASEGAWA MAKOTO / KANDA HOKUTO et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    Inverted pendulum vehicle

    ECHIZENYA TAKESHI | Europäisches Patentamt | 2018

    Freier Zugriff

    INVERTED PENDULUM VEHICLE

    HIRABAYASHI YUTAKA / HASEGAWA MAKOTO / KANDA HOKUTO et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    MOBILE INVERTED PENDULUM

    HIRAIWA HIROSHI / KAMA TAKESHI / HARA YUSUKE et al. | Europäisches Patentamt | 2020

    Freier Zugriff