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  • Adaptive self-learning controller design for feedrate maximization of machining process
    Čuš, Franc, 1953- ; Župerl, Uroš
    An adaptive control system is built which controlling the cutting force and maintaining constant roughness of the surface being milled by digital adaptation of cutting parameters. The paper discusses ... the use of combining the methods of neural networks, fuzzy logic and PSO evolutionary strategy (Particle Swarm Optimization) in modeling and adaptively controlling the process of end milling. An overall approach of hybrid modeling of cutting process (ANfis-system), used for working out the CNC milling simulator has been prepared. The basic control design is based on the control scheme (UNKS) consisting of two neural identificators of the process dynamics and primary regulator. Experiments have confirmed efficiency of the adaptive control system, which is reflected in improved surface quality and decreased tool wear.
    Vir: Advances in production engineering & management. - ISSN 1854-6250 (Vol. 2, no. 1, Mar. 2007, str. 18-27)
    Vrsta gradiva - članek, sestavni del
    Leto - 2007
    Jezik - angleški
    COBISS.SI-ID - 11167510

    Povezava(-e):

    http://maja.uni-mb.si/files/apem/APEM2-1_18-27.pdf
    Digitalna knjižnica Univerze v Mariboru – DKUM

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