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- W3202592839 abstract "The hybrid permanent magnet (PM) variable flux memory machine employs high- and low-coercive-force hybrid PMs to simultaneously obtain a high torque density and regulable PM flux property. The operating trajectories and steady working-points of this type of machine switch back and forth in multiple regions. To identify operating modes under various PM magnetisation states and speed ranges, this paper proposes a mode recognition and coordinated control method based on probabilistic neural networks (PNNs). A PNN algorithm is trained offline and executed in real-time to obtain a certain operating mode with the maximum probability of current state. According to the mode recognition result, a coordinated control scheme for applying short-time pulses or continuous flux-weakening current in a reasonable manner is presented. The proposed method exhibits an excellent capability in real-time operating modes identification, hence achieving magnetisation current control of multiple modes easily. Its feasibility and effectiveness are validated by experimental results on a hybrid PM VFMM prototype." @default.
- W3202592839 created "2021-10-11" @default.
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- W3202592839 date "2021-05-11" @default.
- W3202592839 modified "2023-09-24" @default.
- W3202592839 title "Mode recognition and coordinated magnetisation control method for variable flux memory machine" @default.
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- W3202592839 doi "https://doi.org/10.1049/ell2.12194" @default.
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