Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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    A fuzzy logic approach based direct torque control and five-leg voltage source inverter for electric vehicle powertrains
    (Publishing House of the Romanian Academy, 2021) Derbane, Abdelhakim; Tabbache, Bekheira; Ahriche, Aimad
    In this paper, a fuzzy logic approach is combined with direct torque control (DTC) for dual-motor based electric vehicle powertrain. The proposed structure is based on five-leg voltage source inverter (FLVSI) and two induction motors. The shared-leg switching-signals are selected by using a fuzzy logic controller in order to ensure an independent control of the two driving wheels. Indeed, the selection of the control sequence duration is performed based on the power demand and the load torque of each motor, Simulation results are carried out to confirm that both of IM is able to operate at different speeds with any load condition
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    Predictive direct torque control with reduced ripples for induction motor drive based on T‐S fuzzy speed controller
    (2019) Ammar, Abdelkarim; Talbi, Billel; Ameid, Tarek; Azzoug, Younes; Kerrache, Abdelaziz
    Finite-state model predictive control (FS-MPC) has been widely used for controlling power converters and electric drives. Predictive torque control strategy (PTC) evaluates flux and torque in a cost function to generate an optimal inverter switching state in a sampling period. However, the existing PTC method relies on a traditional proportional-integral (PI) controller in the external loop for speed regulation. Consequently, the torque reference may not be generated properly, especially when a sudden variation of load or inertia takes place. This paper proposes an enhanced predictive torque control scheme. A Takagi-Sugeno fuzzy logic controller replaces PI in the external loop for speed regulation. Besides, the proposed controller generates a proper torque reference since it plays an important role in cost function design. This improvement ensures accurate tracking and robust control against different uncertainties. The effectiveness of the presented algorithms is investigated by simulation and experimental validation using MATLAB/Simulink with dSpace 1104 real-time interface
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    Combining sliding mode and second lyapunov function for flux estimation
    (2016) Ahriche, Aimad; Kidouche, Madjid; Idir, Abdelhakim; Deia, Yacine
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    Rt-lab and dspace : two softwares for real time control of induction motors
    (Editura Academiei Romane, 2014) Idir, A.; Kidouche, M.