File(s) under permanent embargo
Reason: This item is currently closed access.
Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage
journal contributionposted on 2016-09-30, 09:47 authored by Kan Liu, Zi-Qiang Zhu
This 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.
- Mechanical, Electrical and Manufacturing Engineering
Published inIEEE Transactions on Industry Applications
Pages3115 - 3125
CitationLIU, 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.
- VoR (Version of Record)
Publisher statementThis 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/
NotesThis paper is in closed access.