DocumentCode
2314787
Title
Model Reference Adaptive Technique for Sensorless Speed Control of Induction Motor
Author
Santhosh, Pothana ; Chile, R.H. ; Patil, A.B. ; Patil, D.R.
Author_Institution
Dept. of Electr. Eng., Walchand Coll. of Eng., Sangli
fYear
2008
fDate
16-18 July 2008
Firstpage
893
Lastpage
898
Abstract
This paper describes a model reference adaptive system (MRAS) for speed control of the induction motor drive (IM) without a speed sensor. In this scheme an adaptive pseudoreduced-order flux observer (APFO) is used instead of the adaptive full-order flux observer (AFFO), an APFO is used for estimate the IM rotor speed and stator resistance, and these are used as feedback signals for the field oriented control (FOC), which is a widely used control method for induction motor drive (IM). Simulation results show that the proposed scheme can estimate the motor speed under various adaptive PI gains and estimated speed can replace to measured speed in sensorless induction motor drives, this scheme is more efficient at very low speed, and also observed line currents, torque and speed under no-load and load conditions.
Keywords
angular velocity control; induction motor drives; machine control; model reference adaptive control systems; observers; MRAS; adaptive full-order flux observer; adaptive pseudoreduced-order flux observer; feedback signals; field oriented control; induction motor drive; model reference adaptive technique; sensorless speed control; Adaptive control; Adaptive systems; Induction motor drives; Induction motors; Programmable control; Rotors; Sensor phenomena and characterization; Sensor systems; Sensorless control; Velocity control; Adaptive speed estimation; Induction Motor; Model reference adaptive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location
Nagpur, Maharashtra
Print_ISBN
978-0-7695-3267-7
Electronic_ISBN
978-0-7695-3267-7
Type
conf
DOI
10.1109/ICETET.2008.257
Filename
4580029
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