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Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage
journal contribution
posted on 2016-09-30, 09:47 authored by Kan Liu, Zi-Qiang ZhuThis paper proposes a combined parameter estimation for permanent-magnet synchronous machines (PMSMs), by which the rotor permanent-magnet (PM) flux linkage and mechanical parameters, such as the combined moment of inertia and viscous friction coefficient, are estimated without the aid from nominal machine parameter values. The proposed estimation of rotor PM flux linkage is based on the addition of position offsets
and does not need the information of other machine parameters or injection of currents. With the aid from estimated rotor PM flux
linkage, the electromagnetic torque can be consequently calculated for the estimation of mechanical parameters at no-load condition, and a two-step method is employed to achieve a higher ratio of signal to noise. This combined parameter estimation is finally validated on a surface-mounted PMSM (SPMSM) and an interior PMSM (IPMSM), respectively. It is found that the estimation
error of combined moment of inertia with reference to its nominal value can be less than 10% even if it (the combined moment
of inertia) is lower than 1 × 10−3 kg · m2, while the estimation error will be further decreased to less than 3% if it is higher than 7 × 10−3 kg · m2.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Industry ApplicationsVolume
51Issue
4Pages
3115 - 3125Citation
LIU, K and ZHU, Z.Q., 2015. Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage. IEEE Transactions on Industry Applications, 51(4), pp. 3115-3125.Publisher
© IEEEVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2015Notes
This paper is in closed access.ISSN
0093-9994eISSN
1939-9367Publisher version
Language
- en