Title: Intelligent speed control and design of direct torque controller of doubly fed induction motor
Authors: Salima Lekhchine; Tahar Bahi
Addresses: LGMM Laboratory, Department of Electrical Engineering, 20 August University Skikda, 21000, Algeria ' Laboratory of Automation and Signals, Department of Electrical Engineering, Faculty of Engineering Sciences, Badji Mokhtar University, Annaba, 23000, Algeria
Abstract: This paper presents the performance analysis of doubly fed induction motor speed control where the direct torque control strategy is used to obtain high performance torque control. For this, the classical proportional integral and fuzzy logic controllers are applied. Both types are considered in this work in order to analyse their performances as well as their robustness with respect to external disturbances (load torque variation) and internal (stator resistance variation). A complete simulation model for the proposed drive is developed using MATLAB/Simulink. The effectiveness of the proposed drive is verified at different dynamic operating conditions by simulation results. Indeed, the simulation results showed that the proportional integral controller is sensitivity to motor parameter variations because their coefficients are calculated according motor's parameters but the artificial fuzzy logic controller ensures the best performances in stator resistance and load variations and better dynamic characteristics.
Keywords: variable speed; doubly fed induction motor; DFIM; direct torque control; DTC; PI controller; fuzzy logic controller.
International Journal of Nonlinear Dynamics and Control, 2021 Vol.2 No.1, pp.51 - 65
Received: 05 Jul 2020
Accepted: 20 Nov 2020
Published online: 30 Jul 2021 *