This article presents an improved pulse width modulation (PWM) based on fuzzy logic (FL) of induction motor (IM). The major problem that is usually associated with PWM technique is the high total harmonic distortion (THD), stator flux ripple and electromagnetic torque ripples. To overcome these problems a PWM strategy is proposed based on the fuzzy logic controller (FPWM). The fuzzy proposed controller is shown to be able to reduce the THD of stator current, electromagnetic torque ripple and stator flux ripple. The simulation results are shown by using MATLAB/SIMULINK software.
BIOGRAPHYHabib Benbouhenni was born in chlef, Algeria. He is a PhD student in the Departement of electrical engineering at the ENPO-MA, Oran, Algeria. He received a M.S. degree in Automatic and informatics industrial in 2017. His research activities include the application of robust command in the wind turbine power systems.
This paper presents a direct vector control (DVC) strategy for the doubly fed induction generator (DFIG)based wind turbine systems. The major disadvantages that are usually associated with DVC control scheme are the electromagnetic torque, reactive power and active power ripples. To overcome these disadvantages an advanced five-level space vector modulation (5L-SVM) strategy based on neural networks (NNs) controller is proposed. The proposed controller is shown to be able to reduce the reactive and active powers ripples and to improve the performances of the DVC control. Simulation results are shown by using Matlab/Simulink.
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