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Title: Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage
Authors: Liu, Kan
Zhu, Z.Q.
Keywords: Machine drive
Mechanical parameters
Moment of inertia
Parameter estimation
Permanent-magnet synchronous machine (PMSM)
Position offset
Vector control
Viscous friction coefficient
Issue Date: 2015
Publisher: © IEEE
Citation: 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.
Abstract: 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.
Description: This paper is in closed access.
Version: Published
DOI: 10.1109/TIA.2015.2399615
URI: https://dspace.lboro.ac.uk/2134/22619
Publisher Link: http://dx.doi.org/10.1109/TIA.2015.2399615
ISSN: 0093-9994
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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