Comprehensive Online Parameters Identification of Wound Rotor Synchronous Machine (WRSM) by Proposing Two New Parameters and Using Kalman Observer - Université de Lorraine Access content directly
Conference Papers Year : 2020

Comprehensive Online Parameters Identification of Wound Rotor Synchronous Machine (WRSM) by Proposing Two New Parameters and Using Kalman Observer

Abstract

In this paper an online identification method based on a model of a Wound Rotor Synchronous Machine (WRSM) is proposed. With this method, all the values of the electrical and electromagnetic parameters are determined with no need for any prior knowledge of the machine parameters. In this method, two new parameters are proposed which represent the whole parameter error. An Extended Kalman Filter (EKF) is used to estimate these two new parameters. So that, by operating the machine at three distinct operating points, all the parameter errors can be calculated. To validate the proposed method, in addition to simulation, an experimental test is also performed on a WRSM.

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Electric power
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Dates and versions

hal-03259000 , version 1 (12-06-2021)

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Haghgooei Peyman, Saeid Aghaei Hashjin, Noureddine Takorabet, Davood Arab Khaburi, Babak Nahid-Mobarakeh. Comprehensive Online Parameters Identification of Wound Rotor Synchronous Machine (WRSM) by Proposing Two New Parameters and Using Kalman Observer. IEEE Transportation Electrification Conference and Expo (ITEC), Jun 2020, Chicago, IA, United States. pp.192-197, ⟨10.1109/ITEC48692.2020.9161552⟩. ⟨hal-03259000⟩
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