Özet:

Abstract Switched reluctance motors are widely utilized in a variety of industrial applications due to their simple construction, high torque-to-inertia ratio, and cost-effectiveness. However, they suffer from torque ripple, which refers to a fluctuation in torque output during operation. This ripple can cause in vibrations, noise, and decreased efficiency. Torque ripple is a typical issue in switched reluctance motors (SRMs) that can lead to decreased performance and increased energy consumption. To address this problem, researchers have been investigating several control strategies, with fuzzy control emerging as a promising solution. Fuzzy control is a type of intelligent control that utilizes linguistic variables and rules to handles complicated and uncertain systems. It has been shown to be effective in reducing torque ripple in SRMs by adjusting the current profiles based on real-time feedback. The implementation of a fuzzy controller requires a reliable and efficient platform, such as RTLAB are presented in this paper. To generate gating pulses for the Insulated-Gate Bipolar Transistor (IGBT) Converter driving the switched reluctance motor, a fuzzy logic controller is used.  The model developed compares the real time results of the simulator with results obtained using Simulink software. The real time simulator implementation of the intelligent controller signifies that such a controller can be modelled and can significantly reduce the cost. The results obtained by the Software and the simulator are found to be closer. The simulator OP4200 is used to carry out the implementation.

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