DocumentCode :
571132
Title :
Hybrid field orientation and direct torque control for electric vehicle motor drive with an extended Kalman filter
Author :
Farasat, Mehdi ; Karaman, Ekrem ; Trzynadlowski, Andrzej M. ; Fadali, M. Sami
Author_Institution :
Dept. of Electr. & Biomed. Eng., Univ. of Nevada, Reno, NV, USA
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
An electric vehicle (EV) drive must feature fast torque response, high efficiency over wide speed and torque ranges, and reasonable cost. This paper proposes an efficient and robust control scheme for a speed sensorless EV with an induction motor. The main control strategy is a hybrid field oriented control (FOC) and direct torque control (DTC) which combines the advantages of both FOC and DTC and eliminates certain implementation difficulties. For robust operation above the rated speed, a control scheme for field weakening is developed. Since sensorless control is a lower-cost alternative to the position or speed encoder-based control, an extended Kalman filter based speed estimation method is adopted in the main control strategy. Furthermore, a loss-model-based controller (LMC) is employed to optimize the efficiency of the drive. Simulation results verify the effectiveness of the proposed method.
Keywords :
Kalman filters; electric vehicles; induction motors; machine control; motor drives; position control; torque control; velocity control; direct torque control; electric vehicle motor drive with an extended Kalman filter; extended Kalman filter based speed estimation method; field oriented control; hybrid field orientation; induction motor; loss-model-based controller; position encoder-based control; sensorless control; speed encoder-based control; Covariance matrix; Estimation; Induction motors; Rotors; Stators; Synchronous motors; Torque; Electric vehicle; extended kalman filter; field weakening; induction motor; loss minimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2012 IEEE
Conference_Location :
Cleveland, OH
Print_ISBN :
978-1-4673-1836-5
Electronic_ISBN :
978-1-4673-1834-1
Type :
conf
DOI :
10.1109/EnergyTech.2012.6304634
Filename :
6304634
Link To Document :
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