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Fast determination of moment of inertia of permanent magnet synchronous machine drives for design of speed loop regulator

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journal contribution
posted on 05.10.2016, 08:11 by Kan Liu, Zi-Qiang Zhu
This paper proposes a novel method for the fast determination of moment of inertia of permanent magnet synchronous machine (PMSM) drive systems. It is based on the use of sinusoidal perturbation signals and can determine the combined moment of inertia within one sinusoidal cycle of perturbation while the influence of viscous friction is eliminated during the modeling process. It does not need the aid of complex system identification algorithms, and thanks to the elimination of influence of viscous friction, the proposed scheme shows higher accuracy than the conventional method without taking into account. Furthermore, its accuracy is also competitive with the conventional method using complex system identification algorithms, for example, the model reference adaptive system (MRAS). Besides, the performance of designed speed regulators using the estimated mechanical parameters and the influence of mismatching of mechanical parameters are also investigated.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Control Systems Technology

Citation

LIU, K. and ZHU, Z.Q., 2017. Fast determination of moment of inertia of permanent magnet synchronous machine drives for design of speed loop regulator. IEEE Transactions on Control Systems Technology, 25(5), pp.1816-1824.

Publisher

IEEE Control Systems Society

Version

AM (Accepted Manuscript)

Acceptance date

20/09/2016

Publication date

2017

Notes

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

1063-6536

eISSN

1558-0865

Language

en

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