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논문 기본 정보

자료유형
학술저널
저자정보
Amir Farrokh Payam (University of Tehran) Mohammad Naser Hashemnia (Sharif University of Technology) Jawad Faiz (University of Tehran)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.11 No.5
발행연도
2011.9
수록면
719 - 725 (7page)

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This paper describes a novel Direct Torque Control (DTC) method for adjustable speed Doubly-Fed Induction Machine (DFIM) drives which is supplied by a two-level Space Vector Modulation (SVM) voltage source inverter (DTC-SVM) in the rotor circuit. The inverter reference voltage vector is obtained by using input-output feedback linearization control and a DFIM model in the stator a-b axes reference frame with stator currents and rotor fluxes as state variables. Moreover, to make this nonlinear controller stable and robust to most varying electrical parameter uncertainties, a two layer recurrent Artificial Neural Network (ANN) is used to estimate a certain function which shows the machine lumped uncertainty. The overall system stability is proved by the Lyapunov theorem. It is shown that the torque and flux tracking errors as well as the updated weights of the ANN are uniformly ultimately bounded. Finally, effectiveness of the proposed control approach is shown by computer simulation results.

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Abstract
Ⅰ. INTRODUCTION
Ⅱ. DOUBLY-FED INDUCTION MACHINE MODEL
Ⅲ. INPUT-OUTPUT FEEDBACK CONTROL
Ⅳ. ANN BASICS
Ⅴ. ANN CONTROLLER DESIGN
Ⅵ. STATOR ACTIVE AND REACTIVE POWER CONTROL
Ⅶ. STABILIZATION OF ROTOR DC LINK VOLTAGE
Ⅷ. SYSTEM SIMULATION
Ⅸ. CONCLUSIONS
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