Speed and position estimator of for sensorless PMSM drives using adaptive controller

Mat Lazi, Jurifa and Talib, Md Hairul Nizam and Azri, Maaspaliza and Ibrahim, Zulkifilie and Alias, Azrita and Hanafi, Ainain Nur (2019) Speed and position estimator of for sensorless PMSM drives using adaptive controller. International Journal of Power Electronics and Drive Systems (IJPEDS), 10 (1). pp. 128-136. ISSN 2088-8694

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Abstract

Nowadays, the elimination of the speed sensor in Permanent Magnet Synchronous Machine (PMSM) is greatly recommended to increase efficiency and reduce the cost of the drives. This paper proposes a simple estimator for speed and rotor position of PMSM drives using adaptive controller. The novelties of the proposed method are the simple estimator equations and the absence of the voltage probe which depend on direct and quadrature reference current only. The simplified mathematical model of the PMSM is formulated by using V-I model, based on adaptive control. Then, the speed estimation error of the voltage and current model based are analyzed. Thus, an adaptation mechanism model is established to cancel the error of the measured and estimated d-q currents. Since the output of the estimator is the position feedback, the performances of speed responses are presented. The hardware implementation of proposed sensorless drives is realized via dSPACE DS11103 panel. dSPACE Real Time Implementation (RTI) is the linkage between software and hardware set-up. It automatically processes the MATLAB Simulink model into dSPACE DS11103 processor. The experimental-hardware results demonstrate that the speed and position estimator of the proposed method is able to control the PMSM drives for forward and reverse of speed command, acceleration, deceleration and robustness to load disturbance

Item Type:	Article
Uncontrolled Keywords:	PMSM, Sensorless, Speed Estimator, SVPWM
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	13 May 2022 12:12
Last Modified:	13 May 2022 12:12
URI:	http://eprints.utem.edu.my/id/eprint/24744
Statistic Details:	View Download Statistic

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