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Robust DTC control of doubly-Fed induction machines based on input-output feedback linearization using recurrent neural networks

Payam, A. F ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. Publisher: 2011
  3. Abstract:
  4. 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
  5. Keywords:
  6. Adjustable speed ; Artificial Neural Network ; Control approach ; Direct Torque Control ; Doubly Fed induction machine ; Doubly fed induction machines ; DTC-SVM ; Electrical parameter ; Flux tracking errors ; Input-output feedback linearization ; Lyapunov theorems ; Non-linear controllers ; Recurrent artificial neural networks ; Reference frame ; Reference voltages ; Rotor circuits ; Rotor fluxes ; Space-vector modulation ; State variables ; Stator currents ; Two layers ; Uniformly ultimately bounded ; Voltage source inverter ; Computer simulation ; Recurrent neural networks ; Rotors (windings) ; State feedback ; Stators ; System stability ; Theorem proving ; Torque control ; Uncertainty analysis ; Vector spaces ; Feedback linearization
  7. Source: Journal of Power Electronics ; Volume 11, Issue 5 , 2011 , Pages 719-725 ; 15982092 (ISSN)
  8. URL: http://manuscript.jpe.or.kr/ltkPSWeb/pub/pubfpfile.aspx?ppseq=564