A new magnetic model self-identification technique is proposed to build the flux-map look-up tables (LUTs) for synchronous reluctance (SyR) machines. Provided the shaft is free to turn, an alternating acceleration and deceleration sequence is envisaged for identification without a dedicated experimental rig or additional hardware. Respect to previous works, the stator flux and the stator resistance are adapted online during the run, thus eliminating the need for post-processing and the sensitivity to winding temperature variations during the test. Experimental validation on a 1.1 kW SyR motor test-bench shows promising results.
Self-Commissioning of Synchronous Reluctance Motor Drives: Magnetic Model Identification with Online Adaptation / Varatharajan, Anantaram; Pellegrino, Gianmario; Armando, Eric. - (2020), pp. 5353-5360. ((Intervento presentato al convegno 2020 IEEE Energy Conversion Congress and Exposition (ECCE) tenutosi a Detroit, MI, USA, USA nel 11-15 Oct. 2020 [10.1109/ECCE44975.2020.9236307].
Titolo: | Self-Commissioning of Synchronous Reluctance Motor Drives: Magnetic Model Identification with Online Adaptation | |
Autori: | ||
Data di pubblicazione: | 2020 | |
Abstract: | A new magnetic model self-identification technique is proposed to build the flux-map look-up tabl...es (LUTs) for synchronous reluctance (SyR) machines. Provided the shaft is free to turn, an alternating acceleration and deceleration sequence is envisaged for identification without a dedicated experimental rig or additional hardware. Respect to previous works, the stator flux and the stator resistance are adapted online during the run, thus eliminating the need for post-processing and the sensitivity to winding temperature variations during the test. Experimental validation on a 1.1 kW SyR motor test-bench shows promising results. | |
ISBN: | 978-1-7281-5826-6 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2850964