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Advisor(s)
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.
Description
Keywords
Model structures Extended Kalman filter Recursive prediction error methods Online identification Induction machines
Pedagogical Context
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.