Analytical modelling and parametric sensitivity analysis for the PMSM steady‐state performance prediction. Issue 7 (1st August 2013)

• Record Type: Journal Article
• Authors: Kazerooni, Maryam; Hamidifar, Saeedeh; Kar, Narayan C.
• Is Part Of: IET electric power applications. Volume 7:Issue 7(2013)
• Page Start: 586
• Page End: 596
• Publication Date: 2013-08-01
• Subjects: permanent magnet motors -- rotors -- sensitivity analysis -- synchronous motor drives; analytical modelling -- parametric sensitivity analysis -- PMSM steady‐state performance prediction -- parameter error -- model imprecision -- rotor structure -- drive design -- performance calculations -- armature resistance -- flux linkage constant -- q‐axis inductances -- d‐axis model -- laboratory permanent magnet synchronous motor -- equivalent circuit parameters -- saturation saliency -- core losses; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2011.0281
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : 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.