Identification of Induction Machine parameters including Core Loss Resistance using Recursive Least Mean Square Algorithm

Reddy Siddavatam, RP and Loganathan, U (2019) Identification of Induction Machine parameters including Core Loss Resistance using Recursive Least Mean Square Algorithm. In: IECON Proceedings (Industrial Electronics Conference), 14-17 Oct. 2019, Lisbon, Portugal, pp. 1095-1100.

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Abstract

Determination of electrical parameters of Induction machine (IM) is very important especially in field oriented control. The identification schemes proposed in the literature estimate only four of the five electrical parameters of IM, when core loss resistance is neglected. This paper proposes a novel parameter identification method that estimates all the six electrical parameters of IM considering the impact of core loss resistance also. Recursive Least Mean Square (LMS) algorithm is used to identify the machine parameters in the proposed method. The proposed identification scheme is validated through simulation results. © 2019 IEEE.

Item Type:	Conference Paper
Publication:	IECON Proceedings (Industrial Electronics Conference)
Publisher:	IEEE Computer Society
Additional Information:	cited By 0; Conference of 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:155980
Keywords:	Asynchronous machinery; Electric network parameters; Industrial electronics; Least squares approximations; Magnetic cores, Electrical parameter; Identification scheme; Induction machine parameters; Induction machines; Machine parameters; Parameter identification methods; Recursive least mean square; Recursive least mean square algorithm, Parameter estimation
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	06 Oct 2020 08:51
Last Modified:	06 Oct 2020 08:51
URI:	http://eprints.iisc.ac.in/id/eprint/65455

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