DocumentCode
3545372
Title
MRAS based estimation of speed in sensorless PMSM drive
Author
Mishra, Anadi ; Mahajan, V. ; Agarwal, Prabhakar ; Srivastava, S.P.
Author_Institution
Electr. Eng. Dept., IIT Roorkee, Roorkee, India
fYear
2012
fDate
19-22 Dec. 2012
Firstpage
1
Lastpage
5
Abstract
To increase the mechanical robustness of drive system and to make the drive cheaper elimination of the position sensor is highly encouraged. Sensors are not reliable in explosive environment like in chemical industries and may cause the EMI problem. This has made the speed and position sensorless drive very attractive. A speed and position estimator for PMSM drive has been investigated. In the algorithm the PMSM used as reference model. The adaptation mechanism uses a PI controller to process the error between reference model and adjustable model. The estimation algorithm used is independent of stator resistance, computationally less complex, free from integrator problem because back-emf estimation is not required and provides stable operation of drive system. So the performance at low and zero speed is also good. The estimation algorithm is implemented in MATLAB. Simulations results show the validity of MRAS estimator presented here.
Keywords
PI control; angular velocity control; estimation theory; model reference adaptive control systems; permanent magnet motors; sensorless machine control; stability; stators; synchronous motor drives; MATLAB implementation; MRAS-based speed estimation; PI controller; adaptation mechanism; adjustable model; error processing; estimation algorithm; free from integrator problem; mechanical robustness; model reference adaptive system; operational stability; position estimator; position sensor elimination; reference model; sensorless PMSM drive; stator resistance; Adaptation models; Computational modeling; Estimation; Mathematical model; Rotors; Stators; Torque; MRAS; PMSM; SVM; adaptive mechanism; estimation; sensorless;
fLanguage
English
Publisher
ieee
Conference_Titel
Power India Conference, 2012 IEEE Fifth
Conference_Location
Murthal
Print_ISBN
978-1-4673-0763-5
Type
conf
DOI
10.1109/PowerI.2012.6479492
Filename
6479492
Link To Document