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- W3136753450 abstract "The position sensor is a major cost contributing factor of switched reluctance motor (SRM) drive and it is highly unreliable in the case of submersible pumps. Therefore, this article aims at the development of sliding mode observer (SMO)-based position sensorless control for SRM drive for PV-battery standalone submersible pumps. Unlike lookup table-based methods or artificial intelligence-based algorithms, SMO-based algorithm offers simple and robust architecture and does not require any prestored magnetic data. In this article, the SMO algorithm employs instantaneous online calculation of phase inductance, constructed as a function of both rotor position and measured phase current, and uses the derivative of the same to serve as an error function for the observer. Besides implementing SMO for position estimation, a two-phase excitation-based algorithm is integrated into SRM control to guarantee the unidirectional operation during starting. A laboratory-scale prototype is developed and the performance of the drive is discussed to justify its suitableness for submersible pumps." @default.
- W3136753450 created "2021-03-29" @default.
- W3136753450 creator A5067751216 @default.
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- W3136753450 date "2022-08-01" @default.
- W3136753450 modified "2023-10-16" @default.
- W3136753450 title "SMO-Based Position Sensorless SRM Drive for Battery-Supported PV Submersible Pumps" @default.
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- W3136753450 doi "https://doi.org/10.1109/jestpe.2021.3067955" @default.
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