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

• Author(s): Leite, V. ; Araújo, R. ; Freitas, D.
• Date: 2003
• Persistent ID: http://hdl.handle.net/10198/2220
• Origin: Biblioteca Digital do IPB
• Subject(s): Model structures; Extended Kalman filter; Recursive prediction error methods; Online identification; Induction machines
• Document Type: Article
• Language: English

Description

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.