Home Articles List Article Information
JES. Journal of Engineering Sciences
Journal Archive
Volume Volume 53 (2025)
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
Mohamed, Y., Hasaneen, B., A. Elbaset, A., Hussein, A. (2011). RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR. JES. Journal of Engineering Sciences, 39(No 1), 87-98. doi: 10.21608/jesaun.2011.119699
Yehia S. Mohamed; B. M. Hasaneen; Adel A. Elbaset; Alaa Eldin Hussein. "RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR". JES. Journal of Engineering Sciences, 39, No 1, 2011, 87-98. doi: 10.21608/jesaun.2011.119699
Mohamed, Y., Hasaneen, B., A. Elbaset, A., Hussein, A. (2011). 'RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR', JES. Journal of Engineering Sciences, 39(No 1), pp. 87-98. doi: 10.21608/jesaun.2011.119699
Mohamed, Y., Hasaneen, B., A. Elbaset, A., Hussein, A. RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR. JES. Journal of Engineering Sciences, 2011; 39(No 1): 87-98. doi: 10.21608/jesaun.2011.119699

RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR

Article 6, Volume 39, No 1, January and February 2011, Page 87-98  XML PDF (113.71 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2011.119699
View on SCiNiTO View on SCiNiTO
Authors
Yehia S. Mohamed1; B. M. Hasaneen2; Adel A. Elbaset1; Alaa Eldin Hussein2
1Electrical Engineering Department, Minia Uni., Egypt
2Department of Electrical Power and Machine, Alazhar Uni., Qena, Egypt
Abstract
This paper presents a linear parameter estimation technique used to
estimate the rotor resistance, self inductance of the rotor winding,
stator resistance and the stator leakage inductance of an induction
motor. Such estimation is important for achieving high estimation
performance of induction motor drives. The parameters estimation
model expresses the relationships of the dynamic machine model in
terms of measurable stator voltages, currents and motor speed. This
model is represented by a linear regression equation from which
machine parameters can be obtained using a recursive least squares
(RLS) estimation algorithm. Simulation results are presented to
validate the proposed estimation algorithm with reasonable accuracy of
the estimated parameters regardless of load conditions. Comparisons
between experimental and calculated steady-state performances using
the estimated parameters are also presented.
Keywords
Parameters estimation; Induction motor; Recursive Least Squares
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 206
PDF Download: 1,120