DocumentCode :
3336420
Title :
Analysis of three methods for sensorless speed detection in DC motors
Author :
Vázquez-Sánchez, E. ; Gómez-Gil, J. ; Rodríguez-Álvarez, M.
Author_Institution :
Dept. of Signal Theor., Univ. of Valladolid, Valladolid
fYear :
2009
fDate :
18-20 March 2009
Firstpage :
117
Lastpage :
122
Abstract :
There are several techniques to measure the speed of DC motors without sensors, some techniques are based on the ripple component of the current. These techniques estimate the frequency of that component, which is related with the speed of the motor. This document describe three methods for speed measurement based on the previous techniques: spectral analysis through FFT, adaptive filtering with double derivative block and commutation detection with comparator. The accuracy of each method is also evaluated, and a comparative analysis between them is done as well. The results clearly show that the method with better performance is the spectral analysis through FFT, while the two other methods have different limitations for the speed detection.
Keywords :
DC motors; angular velocity control; closed loop systems; fast Fourier transforms; machine control; DC motors; FFT; adaptive filtering; commutation detection; double derivative block; ripple current; ripple frequency; sensorless speed detection; Adaptive filters; Brushless DC motors; Brushless motors; Commutation; DC motors; Frequency estimation; Servomotors; Spectral analysis; Velocity measurement; Voltage; DC motor; ripple current; ripple frequency; sensorless speed; speed detector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering, Energy and Electrical Drives, 2009. POWERENG '09. International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-4611-7
Electronic_ISBN :
978-1-4244-2291-3
Type :
conf
DOI :
10.1109/POWERENG.2009.4915231
Filename :
4915231
Link To Document :
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