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M. El-sayed, A., Mohamed, Y. (2014). ON LINE PARAMETER ESTIMATION OF AN INDUCTION MOTOR USING RECURSIVE LEAST SQUARES METHOD. JES. Journal of Engineering Sciences, 42(No 1), 165-179. doi: 10.21608/jesaun.2014.114296
Abou-Hashema M. El-sayed; Yehia S. Mohamed. "ON LINE PARAMETER ESTIMATION OF AN INDUCTION MOTOR USING RECURSIVE LEAST SQUARES METHOD". JES. Journal of Engineering Sciences, 42, No 1, 2014, 165-179. doi: 10.21608/jesaun.2014.114296
M. El-sayed, A., Mohamed, Y. (2014). 'ON LINE PARAMETER ESTIMATION OF AN INDUCTION MOTOR USING RECURSIVE LEAST SQUARES METHOD', JES. Journal of Engineering Sciences, 42(No 1), pp. 165-179. doi: 10.21608/jesaun.2014.114296
M. El-sayed, A., Mohamed, Y. ON LINE PARAMETER ESTIMATION OF AN INDUCTION MOTOR USING RECURSIVE LEAST SQUARES METHOD. JES. Journal of Engineering Sciences, 2014; 42(No 1): 165-179. doi: 10.21608/jesaun.2014.114296

ON LINE PARAMETER ESTIMATION OF AN INDUCTION MOTOR USING RECURSIVE LEAST SQUARES METHOD

Article 10, Volume 42, No 1, January and February 2014, Page 165-179  XML PDF (285.36 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2014.114296
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Authors
Abou-Hashema M. El-sayed; Yehia S. Mohamed
Electrical Engineering Department, Faculty of Engineering, El-Minia University, El-Minia Egypt
Abstract
This paper presents linear estimation techniques used to identify the stator resistance, the stator
leakage inductance (transient inductance), the stator self inductance and rotor time constant of an
induction motor with measuring its speed. Such estimation is important in the determination of the
achieve performance for induction motor drives. The discrete-time parameter estimation models
express the relationships of the dynamic machine model in terms of measurable stator voltages,
stator currents and an estimated motor speed. These models are represented by linear regression
equations from which the machine parameter vectors 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.
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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