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Sensorless model‐based PCC for induction machine
Author(s) -
Wang Fengxiang,
Zhang Zhenbin,
Wang Junxiao,
Rodríguez José
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2016.0220
Subject(s) - computer science , control engineering , engineering , control theory (sociology) , artificial intelligence , control (management)
Sensorless predictive current control (PCC) for an induction machine is proposed in this study. In the controller, the errors between the current references and the predicted values are evaluated; therefore, it guarantees good current behaviours which are essential to the low‐voltage drives. By designing proper adaptive scheme and gain matrix, a stable sensorless PCC system is achieved. Furthermore, the sensitives of parameters such as stator resistance and magnetic inductance are discussed with both experimental results and theoretic analysis. The sensorless system is carried out experimentally in a very wide‐speed range both with and without loads.

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