Title :
Sensorless speed measurement of induction motors using an adaptive frequency-tracking algorithm
Author :
McNamara, David M. ; Enayati, Babak ; Ziarani, Alireza K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY
Abstract :
Sensorless speed estimation is of importance to a variety of industrial applications where speed information is required. Standard shaft-mounted speed transducers are the commonplace solution to speed estimation. However, they add complexity to a motor and wear with time. This paper presents a novel technique of determining speed from eccentricity harmonics within the stator current. The presented technique provides a computationally efficient, real-time sensorless speed measurement method based on a frequency-tracking signal processing algorithm. The proposed technique is shown to be advantageous in that it is capable of providing precise real-time speed estimation through changes in mechanical load and source frequency changes. The developed technique is suitable for all adjustable drives including direct torque control (DTC) drives.
Keywords :
induction motors; signal processing; stators; transducers; velocity measurement; adaptive frequency-tracking algorithm; direct torque control drives; eccentricity harmonics; frequency-tracking signal processing algorithm; induction motor; real-time speed estimation; sensorless speed measurement; standard shaft-mounted speed transducer; stator current; Degradation; Frequency estimation; Induction motors; Power harmonic filters; Rotors; Signal processing algorithms; Stators; Time frequency analysis; Transducers; Velocity measurement;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758249