Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application
نویسندگان
چکیده
Permanent-magnet brushless dc motor (PMBLDCM) is more suitable for electric vehicle (EV) with higher torque and driving performance. A loss modeling of PMBLDCM proper analysis can improve the control stability at different road surface conditions. However, iron not minimal enough to be ignored during high-speed operation drives. This article proposes a disturbance observer-based sensorless drive accurate estimation rotor position. achieved by taking into consideration in order further reduce position error. modified model predictive also proposed deal novel provide ripple-free reduced losses. The EV performances are compared lossless through both simulation experimental validation.
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ژورنال
عنوان ژورنال: IEEE Transactions on Transportation Electrification
سال: 2021
ISSN: ['2577-4212', '2372-2088', '2332-7782']
DOI: https://doi.org/10.1109/tte.2020.3036991