Application of least-squares techniques for induction motor parameters estimation
Yassine Koubaa
Mathematical and Computer Modelling of Dynamical Systems, 2006, vol. 12, issue 4, 363-375
Abstract:
This paper deals with a new approach to the parameters estimation of three-phase induction motors with least-squares techniques. The identification method is based on the steady-state electrical equations of induction motor and allows the use of linear identification algorithms. Measurements of the stator currents and voltages and rotor angular speed are required for the identification procedure based on a simple algorithm. The main feature of the proposed procedure is the possibility of estimating the rotor resistance, self-inductance of the rotor winding and the stator leakage inductance parameters without measuring the rotor flux magnitude. The estimated parameters are compared with similar available data obtained with a 3 kW induction motor to evaluate the consistence and performance of the proposed method.
Date: 2006
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13873950500064103 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:nmcmxx:v:12:y:2006:i:4:p:363-375
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20
DOI: 10.1080/13873950500064103
Access Statistics for this article
Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch
More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().