Abstract
Three-phase induction motors are becoming increasingly popular for electric cars and industrial uses because of their improved efficiency and simplicity of production, among other things. Many enterprises and industries use induction motors in several rotating applications. However, it is a difficult talent to master when it comes to controlling the speed of an induction motor for various purposes. This study examines the performance of a three-phase induction motor using approaches such as field-oriented control and direct torque control. This work utilized the fractional order Darwinian particle swarm optimization (FODPSO) method in fuzzy methodology to optimize a motor’s performance. Field-oriented control (FOC) and Direct torque control (DTC) methods are regulated by FODPSO, which is compared to standard FOC and DTC methods. MATLAB-Simulink was used to compare the outcomes of each system’s simulation model to determine which one performed the best. The support vector machine-direct torque control (SVM-DTC) technology is famous for its rapid dynamic response and decreased torque ripples. Using torque and settling time and rising time reduction, the suggested technique is proved to be superior to the present way.
Highlights
Abolfazl Mehbodniya,1 Parmod Kumar,2 Xie Changqing,3 Julian L Webber,4 Udit Mamodiya,5 Awal Halifa,6 and Chennupalli Srinivasulu7
It is a difficult talent to master when it comes to controlling the speed of an induction motor for various purposes. is study examines the performance of a three-phase induction motor using approaches such as field-oriented control and direct torque control. is work utilized the fractional order Darwinian particle swarm optimization (FODPSO) method in fuzzy methodology to optimize a motor’s performance
Is is accomplished by driving the induction motor using a voltage source inverter, which is constructed from a three-phase bridge rectifier of the Simulink model of FOCbased FODPSO, as shown in Figure 5. e flux and torque references for the Field-oriented control (FOC) controller are generated by a PI controller that is included in the speed control loop
Summary
Is study examines the performance of a three-phase induction motor using approaches such as field-oriented control and direct torque control. Is work presents the results of the simulation of these two approaches using the fractional order Darwinian particle swarm optimization (FODPSO) with a fuzzy logic controller (FODPSO-FLC) [8, 9], and the findings are compared to those obtained using a three-phase induction motor. DTC and FOC have been the subject of much research, both separately and in conjunction with the use of other kinds of controllers to enhance the performance of those motor control systems Using topology modification, such as the addition of gears for the components or the use of a gearbox with a limited number of ratios, Kabalan et al [13] investigated the potential for efficiency improvement of a simple seriesparallel hybrid electric vehicle powertrain using a simple series-parallel hybrid electric vehicle powertrain. The measured three-phase winding current value is compared to the threephase reference current value, with the resulting error being passed back to the PWM block. is equation is used to create the switching signal, which is subsequently used
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