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Induction Machine Parameterization From Limited Transient Data Using Convex Optimization.
- Source :
-
IEEE Transactions on Industrial Electronics . Feb2022, Vol. 69 Issue 2, p1254-1265. 12p. - Publication Year :
- 2022
-
Abstract
- This article identifies the parameters of an induction machine using limited and nonintrusive observations of available input voltages, stator currents, and the rotor speed. Parameter extraction is formulated as a nonconvex estimation problem, which is then relaxed to a convex conic optimization problem. While the resulting relaxation could exhibit a satisfactory performance, there might be cases where the solution of convex relaxation fails to satisfy the dynamic equations of the machine. This is remedied through a local search approach initiated using the solution obtained from the relaxed problem. The proposed method is experimentally verified on a squirrel-cage induction machine with missing measured data. Using the measured signals as the benchmark, time-domain transients produced by the parameters estimated using the proposed method show almost 20% better match compared to time-domain transients produced by the parameters obtained via conventional testing. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02780046
- Volume :
- 69
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Industrial Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 153711783
- Full Text :
- https://doi.org/10.1109/TIE.2021.3060668