Classes of model structures for state and parameter identification of vector co...

• Autor(es): Leite, V. ; Araújo, R. ; Freitas, D.
• Data: 2003
• Identificador Persistente: http://hdl.handle.net/10198/2220
• Origem: Biblioteca Digital do IPB
• Assunto(s): Model structures; Extended Kalman filter; Recursive prediction error methods; Online identification; Induction machines
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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.