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Mohamed, Y. (2010). ROBUST SPEED AND PARAMETER ESTIMATION FOR HIGH PERFORMANCE FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVES. JES. Journal of Engineering Sciences, 38(No 1), 221-242. doi: 10.21608/jesaun.2010.123813
Yehia S. Mohamed. "ROBUST SPEED AND PARAMETER ESTIMATION FOR HIGH PERFORMANCE FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVES". JES. Journal of Engineering Sciences, 38, No 1, 2010, 221-242. doi: 10.21608/jesaun.2010.123813
Mohamed, Y. (2010). 'ROBUST SPEED AND PARAMETER ESTIMATION FOR HIGH PERFORMANCE FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVES', JES. Journal of Engineering Sciences, 38(No 1), pp. 221-242. doi: 10.21608/jesaun.2010.123813
Mohamed, Y. ROBUST SPEED AND PARAMETER ESTIMATION FOR HIGH PERFORMANCE FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVES. JES. Journal of Engineering Sciences, 2010; 38(No 1): 221-242. doi: 10.21608/jesaun.2010.123813

ROBUST SPEED AND PARAMETER ESTIMATION FOR HIGH PERFORMANCE FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVES

Article 14, Volume 38, No 1, January and February 2010, Page 221-242  XML PDF (401.21 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2010.123813
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Author
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 without measuring its speed. Such estimation is important to achieve high performance for sensorless field-oriented control of induction motor drives. The discrete-time parameter estimation models express the relationships of the dynamic machine model in terms of measurable stator voltages, currents and an estimated motor speed. These models are represented by linear regression equations from which machine parameter vectors can be obtained using a recursive least squares (RLS) estimation algorithm. Moreover, a robust speed estimator based on a model-reference adaptive system (MRAS) is proposed to use the estimated parameters for accurate estimation of motor speed. The estimated motor speed is used iteratively in the parameters linear estimation models and is fed back in a sensorless field-oriented control of motor drive. The accuracy of parameter estimation is good regardless of load conditions. Simulation results validate the proposed scheme with reasonable accuracy of the estimated parameters as well as excellent performance of the motor drive.
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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