Offline Recursive Identification of Electrical Parameters of VSI-Fed Induction Motor Drives

Reddy, SRP and Loganathan, U (2020) Offline Recursive Identification of Electrical Parameters of VSI-Fed Induction Motor Drives. In: IEEE Transactions on Power Electronics, 35 (10). pp. 10711-10719.

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Abstract

Accurate estimation of electrical parameters of voltage-source-inverter-fed induction machine (IM) drives is very important while employing high-dynamic-performance control schemes, such as vector control. Parameter estimation schemes reported in the literature can estimate only four parameters (Rs, Lss, σ, and τ r) independently out of five electrical parameters (Rs, Rr, Lσ s, Lσ r, and Lm), when the core loss resistance is neglected. All the five parameters are not independently identified. This article proposes a parameter estimation method that independently identifies all the six electrical parameters (Rs, Rr, Rc, Lσ s, Lσ r, and Lm) of the IM, including the core loss resistance. Besides, the variation of core loss resistance with frequency is also discussed in this article. The Kalman filter algorithm is used to estimate machine parameters in the proposed method. In the proposed method, a sine-triangle pulsewidth modulation signal is used as input excitation, instead of pseudorandom binary sequence signals. The proposed estimation method is validated using both simulation and experimental results. © 1986-2012 IEEE.

Item Type:	Journal Article
Publication:	IEEE Transactions on Power Electronics
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	copy right for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Binary sequences; Electric drives; Electric inverters; Electric network parameters; Induction motors; Magnetic cores, Electrical parameter; High dynamic performance; Induction motor drive; Kalman filter algorithms; Parameter estimation method; Pseudo-random binary sequences; Recursive identification; Voltage source inverter, Parameter estimation
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	21 Dec 2020 06:10
Last Modified:	21 Dec 2020 06:10
URI:	http://eprints.iisc.ac.in/id/eprint/66078

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