RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR | ||
| JES. Journal of Engineering Sciences | ||
| Article 6, Volume 39, No 1, January and February 2011, Pages 87-98 PDF (113.71 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.21608/jesaun.2011.119699 | ||
| 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 | ||
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