DocumentCode :
3262873
Title :
A static two-axis model and its application in direct torque control system for brushless doubly fed induction machine
Author :
Zhang, Ai-ling ; Wang, Xin
Author_Institution :
Dept. of Electr. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2011
fDate :
5-8 Dec. 2011
Firstpage :
968
Lastpage :
973
Abstract :
In order to simplify the system structure and improve the control precision, a static two-axis model for brushless doubly fed induction machine is presented in this paper. The two subsystems of the model are respectively built on αβ reference frames of power winding and control winding. On this basis, a direct torque control strategy has been proposed. The flux and torque is estimated on the two static reference frames, avoiding the rotation transformation and speed measurement error. In addition, the switch table applied to both sub-synchronous and super-synchronous is constructed. The machine model and the control strategies are developed in MATLAB. The simulation results show that the estimation of the torque is feasibility. The brushless doubly fed induction machine is stably controlled under a step change in a given speed and load torque. The parameters used in it are less and rotation transformation is avoided.
Keywords :
angular velocity control; asynchronous machines; brushless machines; machine control; machine windings; torque control; Matlab; brushless doubly fed induction machine; control winding; direct torque control strategy; direct torque control system; load torque; machine model; power winding; rotation transformation; speed measurement error; speed torque; static two-axis model; Induction machines; Mathematical model; Rotors; Torque; Vectors; Windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on
Conference_Location :
Singapore
ISSN :
2164-5256
Print_ISBN :
978-1-61284-999-7
Electronic_ISBN :
2164-5256
Type :
conf
DOI :
10.1109/PEDS.2011.6147373
Filename :
6147373
Link To Document :
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