Robustness of PM Brushless DC Motor Drive Adaptive Controller with Reference Model and Signal Adaptation Algorithm

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...

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Bibliographic Details
Published in2006 IEEE International Symposium on Industrial Electronics Vol. 1; pp. 16 - 21
Main Authors Crnosija, P., Bjazic, T., Krishnan, R., Yang, H.Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2006
Subjects
Adaptation model
Adaptive control
Brushless DC motors
Couplings
Feedback
Mathematical model
Programmable control
Robust control
Torque
Transfer functions
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Summary: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
ISBN:9781424404964
1424404967
ISSN:2163-5137
DOI:10.1109/ISIE.2006.295561