izvorni znanstveni rad
This paper covers an application of MRAC with modified signal adaptation algorithm with optimal error weighting coefficients in a permanent magnet brushless DC motor drive with significant parameter changes in moment of inertia, armature resistance and flux linkage coefficient. Optimal values of the error weighting coefficients are determined for third order reference model, using Matlab and simplex optimization method. Presented results show that one set of optimal error weighting coefficients can compensate for any parameter change reducing the error from 41-57% to 4-8% in relation to a reference model thus showing that MRAC with modified signal adaptation algorithm is robust.
model reference adaptive control; MRAC; signal adaptation; robustness; brushless DC motor drive
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…
