Smart Controls for Switched Reluctance Motor 8/6 Used for Electric Vehicles Underground Mining Security

Abstract

Switched reluctance motors (SRM) are a type of electromagnetic machine that has piqued the interest of manufacturers, as opposed to induction, brushless, or permanent magnet machines. This is because the rotor is simple, robust, and lacks coils, windings, and permanent magnets. It can also operate in a wide range of power in the electric vehicle's drive, even in extreme conditions such as underground mines, ensuring a longer life of service. However, due to the toothed shape of the rotor, the SRM is characterized by vibration and acoustic noise. To solve this problem to better adapt the SRM to the electric vehicle, we propose to use intelligent techniques such as the controller (ANN) and the fractional order controller (PI α ). This article compares two intelligent speed controllers that use direct torque control (DTC) to reduce torque ripples. As a result, when associated with direct torque control, the Fractional Order Controller (PI α ) outperforms the Artificial Neural Network (ANN).

Modified Whale Algorithm-Based Optimization for Fractional Order Concurrent Diminution of Torque Ripple in Switch Reluctance Motor for EV Applications

“…The controlling profile of the stator current, and with intelligent selection of the turn-on (θ ON )/turn-off angle (θ OFF ) [6], the dimunition of torque ripple is achieved. By the appropriate and exact computation of the switching angle and by controlling the stator current profile, the control of SRM can be achieved [20,[32][33][34][35].…”