aalto1 untyped-item.component.html

Inverse Thermal Modeling to Determine Power Losses in Induction Motor

Loading...
Thumbnail Image

Access rights

openAccess
acceptedVersion

URL

Journal Title

Journal ISSN

Volume Title

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Major/Subject

Mcode

Degree programme

Language

en

Pages

4

Series

IEEE Transactions on Magnetics, Volume 53, issue 6

Abstract

An electrical motor’s inverse thermal model formulates the precision with which its power losses can be predicted from noisy local temperature measurements. This paper proposes constrained linear least square optimisation followed by noise smoothing as a method to accurately predict a 37 kW induction motor’s power loss components. The anisotropic heat transfer and complex geometry of the motor is represented well by the motor’s lumped thermal network and 3D finite element models which characterise its intrinsic heat transfer processes. With the inverse solution method, satisfactory temperature to power inverse mapping was achieved for different sets of noisy temperature inputs simulated from analytical and numerical forward solutions. The paper demonstrates that even with measurement noise in input data, if reliable information about the expected response of the system is available, an accurate reconstruction of power losses can be achieved.

Description

Other note

Citation

Nair, D G & Arkkio, A 2017, 'Inverse Thermal Modeling to Determine Power Losses in Induction Motor', IEEE Transactions on Magnetics, vol. 53, no. 6, 8103204. https://doi.org/10.1109/TMAG.2017.2661381

Endorsement

Review

Supplemented By

Referenced By