Direct Torque Control of Induction Machine Using Fuzzy Logic MRAS Speed Estimator Implemented for Electric Vehicle

2016 ◽  
pp. 21-29
Author(s):  
Abderrahmane Ouchatti ◽  
Ahmed Abbou ◽  
Mohammed Akherraz ◽  
Abderrahim Taouni
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Torque Control ◽  
Speed Estimator

scholarly journals Improved DTC strategy of an electric vehicle with four in-wheels induction motor drive 4WDEV using fuzzy logic control

2021 ◽  
Vol 12 (2) ◽  
pp. 650
Author(s):  
Nair Nouria ◽  
Gasbaoui Brahim Ghazouni Abdelkader ◽  
Benoudjafer Cherif
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Induction Motors ◽  
Control Strategies ◽  
Direct Torque Control ◽  
Torque Control ◽  
The Road ◽  
Time Simulation ◽  
Wheel Drive ◽  
Four Wheel Drive

In this paper, we will study a four-wheel drive electric vehicle (4WDEV)with two control strategies: conventional direct torque control CDTC and DTC based on fuzzy logic (DTFC). Our overall idea in this work is to show that the 4WDEV equipped with four induction motors providing the drive of the driving wheels controlled by the direct fuzzy torque control ensures good stability of the 4WDEV in the different topologies of the road, bends and slopes. and increases the range of the electric vehicle. Numerical simulations were performed on an electric vehicle powered by four 15 kW induction motors integrated into the wheels using the MATLAB / Simulink environment, where the reference speeds of each wheel (front and rear) are obtained using an electronic speed differential (ESD). This can eventually cause it to synchronize the wheel speeds in any curve. The speed of each wheel is controlled by two types of PI and FLC controllers to improve stability and speed response (in terms of setpoint tracking, disturbance rejection and climb time). Simulation results show that the proposed FLC control strategy reduces torque, flux and stator current ripple. While the4WDEV range was improved throughout the driving cycle and battery power consumption was reduced.

scholarly journals Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine

2021 ◽  
Vol 11 (5) ◽  
pp. 3782
Author(s):  
Boumaraf Farid ◽  
Boutabba Tarek ◽  
Belkacem Sebti
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Torque Control ◽  
Doubly Fed Induction Machine ◽  
Signum Function ◽  
Simulation Results ◽  
Doubly Fed ◽  
Twisting Algorithm

<span>This paper proposes the fundamental aspects of hybrid nonlinear control which is composed of the super twisting algorithm (STA) based second order sliding mode control applying fuzzy logic method (FSOSMC), with pertinent simulation results for a doubly fed induction machine (DFIM) drive. To minimize chattering effect phenomenon due to Signum function employed in sliding mode algorithm, a new method is proposed. This technique consists in replacing the signum function by fuzzy switching function in the SOSMC to minimize flux and torque ripples. This FSOSMC is associated to the double direct torque control DDTC of the doubly fed induction machine (DFIM) by combining the advantages of fuzzy logic (FL) and the advantages of super-twisting sliding mode. The FSOSMC-DDTC strategy is compared with a PI-DDTC and SOSMC-DDTC. Simulation results demonstrate good efficiency and excellent robustness of the hybrid nonlinear controller.</span>

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