Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives

Abdel-Fadil, Reyad; Számel, László

doi:10.3311/ppee.15496

Cited by 7 publications

(7 citation statements)

References 23 publications

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“…Figure 2 illustrates a three-wheeled electric scooter's induction motor's DTC block diagram incorporated within the wheels. The flux may be estimated using measurements of the induction machine's stator current and voltage magnitudes [20].…”

Section: Wheel Induction Motor Drive Based On Conventional Dtcmentioning

confidence: 99%

Improved direct torque control strategy performances of electric vehicles induction motor

Bachiri

Gasbaoui

Ghezouani

et al. 2022

IJPEDS

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<p>A three-wheeled electric scooter (3WES) with two control techniques is modeled and simulated in this study. The conventional direct torque control (C-DTC) and the DTC based on a neural network artificial multi layers (ANN-DTC). The objective is to assess the traction system's response to the control approach. by 3WES taking into account the dynamics of the scooter, the range and the energy consumption of the battery. The 3WES was simulated numerically using the MATLAB/Simulink environment, which is powered 1.5 kW by two induction motors integrated into the rear wheels. Where the reference speeds of the rear wheels detected using a differential electronic. This can possibly cause it to synchronize the wheel speed in any curve. Each wheel's speed was controlled by two types of regulators, PI and ANN, to increase stability and reaction time (in terms of set point tracking, disturbance rejection and rise time). The proposed ANN-DTC control technique reduces torque, stator flux, and current ripple by roughly 35%. While the range of 3WES has increased by approximately 8.062 m, the battery power consumption has decreased by nearly 0.25%.</p>

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Section: Wheel Induction Motor Drive Based On Conventional Dtcmentioning

confidence: 99%

Improved direct torque control strategy performances of electric vehicles induction motor

Bachiri

Gasbaoui

Ghezouani

et al. 2022

IJPEDS

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“…The switch-on angle based on the assumption of constant inductance in minimum inductance region can be calculated as following [13][14][15]28]:…”

Section: Determination Of Switch On Anglementioning

confidence: 99%

“…However, the SRM has nonlinear magnetic attributes because of its doubly salient construction and highly saturated magnetic circuit [24,25]. Such characteristics are mostly determined using analytical methods, Finite Element Method (FEM), and experimental measurements [26][27][28]. The analytical methods are very complicated and often involve simplifications assumptions, which significantly impact its accuracy [26].…”

Section: Introductionmentioning

confidence: 99%

“…The FEM is widely accepted to calculate the magnetic characteristics of the SRM. Still, this method needs precise geometrical data and material properties of the SRM, which are not provided by the manufacturer in most scenarios [26][27][28][29]. On the other hand, the experimental measurements correspond to the actual machine data and provide the highest accuracy among these methods.…”

Section: Introductionmentioning

confidence: 99%

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Optimum Switching Angles Control of SRM for Electric Vehicle Applications

Quraan

Számel

Hamouda

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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Switched Reluctance Motor (SRM) drive is being gradually used in industrial applications, including electric vehicles (EVs), due to several advantages over conventional motors. However, the nonlinear magnetic characteristics of the motor make its controller very complicated. This paper presents a simplified procedure to obtain the optimal switching angles under hysteresis current control SRM drive over a wide range of speeds. A multi-objective optimization technique is applied to determine the optimal switch on and switch off angles that achieve the optimum combination of maximum average torque with minimum torque ripple and copper loss. A searching algorithm is developed for each operating point to define the maximum average torque and the minimum torque ripple and copper losses, as they vary for different currents and motor speeds. Then the optimal values of switching angles are stored in the lookup tables to build a MATLAB model of the SRM drive system. Finally, simulation and experimental results are presented to show the validity and effectiveness of the proposed controller.

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“…The most complex control strategies proposed in the wide range of literature include direct torque control (DTC), torque sharing function (TSF), advance torque control (ATC) and feedback control that can reduce the ripples in the SRM drives [16][17][18][19]. The torque ripples suppression of 12/8 SRM along with an investigation of the response of speed and load torque has been done by using both the TSF and DTC techniques in the literature [16].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Controller Based DTC of SRM Drive Fed by Common High Side Asymmetric Switch Converter

Kolluru

Kumar

2022

Int. j. electr. comput. eng. syst. (Online)

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The switched reluctance motor (SRM) is recently gaining huge popularity in electric vehicle (EV) applications due to its control flexibility, simple structure, lower cost and high efficiency than the synchronous and induction motors. Among all the controllers, the direct torque control (DTC) is the most preferred due to its higher efficiency, lower losses and superior control characteristics. In this paper, a 6/4 pole SRM with fuzzy logic based DTC has been proposed for the EV application along with a converter with reduced switch counts to reduce the torque ripples and enhance the performance of the system under steady and transient state conditions. The proposed system is tested and validated under various scenarios that include load torque and speed variations and compared with the vector control method. From, the investigation it has been found that the proposed technique reduces ripples from the system during all the scenarios with a resultant flux of less than 0.5pu.

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Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives

Cited by 7 publications

References 23 publications

Improved direct torque control strategy performances of electric vehicles induction motor

Improved direct torque control strategy performances of electric vehicles induction motor

Optimum Switching Angles Control of SRM for Electric Vehicle Applications

Fuzzy Controller Based DTC of SRM Drive Fed by Common High Side Asymmetric Switch Converter

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