DocumentCode :
577472
Title :
Model predictive control of vector controlled induction motor drive
Author :
Diab, Ahmed A. Zaki ; Pankratov, V.V.
Author_Institution :
Novosibirsk State Tech. Univ., Novosibirsk, Russia
fYear :
2012
fDate :
18-21 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper the application of the model predictive control (MPC) technique for controlling the speed of the induction motor drive has been presented. Vector control principle has been used for decoupling between motor speed and rotor flux. A simple model of induction motor is employed in the MPC structure so as to minimize the computational load. The MPC controller design is taken into account the effect of uncertainty due to motor parameters variation and load disturbance could be reduced. The effectiveness of the proposed scheme has been successfully verified through simulations. The performance of the system including the MPC controller is compared with the corresponding one using the traditional PI controller. The results proved that the induction motor with the MPC speed controller has superior transient response, and good robustness in face of uncertainties including load disturbance. Moreover, accurate tracking performance has been achieved.
Keywords :
PI control; angular velocity control; control system synthesis; induction motor drives; machine control; predictive control; rotors; transient response; MPC controller design; computational load; induction motor drive; load disturbance; model predictive control; motor parameters variation; motor speed decoupling; rotor flux; speed control; traditional PI controller; transient response; vector controlled induction motor drive; Induction motors; Load modeling; Mathematical model; Rotors; Stators; Torque; Transient response; Induction Motor; Model Predictive Control; Vector Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4673-1772-6
Type :
conf
DOI :
10.1109/IFOST.2012.6357677
Filename :
6357677
Link To Document :
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