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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 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