This paper proposes a new magnetic model self-identification technique for synchronous machines to build the flux-map look-up tables (LUTs). Provided the shaft is free to turn, an alternating self-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 validations on a 1.1 kW synchronous reluctance (SyR) and a 11 kW permanent-magnet assisted synchronous reluctance (PM-SyR) motors are provided.
Kinetic-Rotor Self-Commissioning of Synchronous Machines for Magnetic Model Identification with Online Adaptation / Varatharajan, A.; Pellegrino, G.; Armando, E.. - In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. - ISSN 0093-9994. - ELETTRONICO. - (2022), pp. 1-1. [10.1109/TIA.2022.3151039]
Kinetic-Rotor Self-Commissioning of Synchronous Machines for Magnetic Model Identification with Online Adaptation
Varatharajan A.;Pellegrino G.;Armando E.
2022
Abstract
This paper proposes a new magnetic model self-identification technique for synchronous machines to build the flux-map look-up tables (LUTs). Provided the shaft is free to turn, an alternating self-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 validations on a 1.1 kW synchronous reluctance (SyR) and a 11 kW permanent-magnet assisted synchronous reluctance (PM-SyR) motors are provided.File | Dimensione | Formato | |
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Kinetic-Rotor_Self-Commissioning_of_Synchronous_Machines_for_Magnetic_Model_Identification_with_Online_Adaptation_compressed.pdf
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https://hdl.handle.net/11583/2956404