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Analytical modelling and parametric sensitivity analysis for the PMSM steady‐state performance prediction
Author(s) -
Kazerooni Maryam,
Hamidifar Saeedeh,
Kar Narayan C.
Publication year - 2013
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2011.0281
Subject(s) - control theory (sociology) , parametric statistics , permanent magnet synchronous motor , sensitivity (control systems) , inductance , flux linkage , steady state (chemistry) , torque , rotor (electric) , estimation theory , armature (electrical engineering) , computer science , magnet , engineering , induction motor , mathematics , direct torque control , physics , voltage , algorithm , electronic engineering , chemistry , artificial intelligence , control (management) , thermodynamics , mechanical engineering , statistics , electrical engineering
Inaccuracy in the permanent magnet synchronous motor (PMSM) steady‐state performance calculation corresponds to the parameter error and model imprecision. Accurate determination of the PMSM parameters may encounter various complications because of its rotor structure and drive design. Therefore PMSM performance calculation is generally vulnerable to inaccuracy because of the parameter error. This article studies the effect of parameter error on the inaccuracy of the performance calculations. Several methods for determining the PMSM armature resistance, flux linkage constant and d ‐ and q ‐axis inductances with varying level of accuracy are proposed. The presented methods are applied to a laboratory PMSM and the sensitivity of the PMSM output power to the equivalent circuit parameters is analysed based on the experimental results. In addition, this study contributes to accurate performance estimations of the PMSM by developing a precise model that incorporates the saturation saliency and core losses. The accuracy of the proposed model is compared with the conventional dq ‐axis model and its higher accuracy is validated through experimental results.

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