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Classes of model structures for state and parameter identification of vector controlled induction machines

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Abstract(s)

The purpose of this paper is to present a synthesis of classes of model structures for joint state and parameter identification of vector controlled induction motors for real time and normal operating conditions. Based on its classical model a set of new classes of model structures is discussed and proposed for simultaneous estimation of rotor flux components and electrical parameters.

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Model structures Extended Kalman filter Recursive prediction error methods Online identification Induction machines

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Citation

Leite, Vicente; Araújo, R.; Freitas, D. (2003). Classes of model structures for state and parameter identification of vector controlled induction machines. In 8th. Portuguese-Spanish Congress on Electrical Engineering. Vilamoura, portugal.

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