Antlion-based sliding mode control of vienna rectifier for internet of electric vehicle

Electric car charging infrastructure has recently grown to be a crucial component of the electrified powertrain. A single-phase Vienna rectifier is the most commonly used rectifier in electric vehicles because of its high efficiency and low cost. Vienna rectifiers have unusually high values for system parameters including peak overshoot values and settling time relative to changing input voltage. Increasing system parameters reduced the stability and effectiveness of the system. In this research work, a novel Antlion optimization algorithm (ALO) based sliding mode controller (ALO-SMC) of the single-phase Vienna rectifier has been suggested. The planned ALO-SM controller enhances the system's constraints and lowers fault values to increase stability so that the battery can be charged with the least amount of overshoot and settling time. The Simulink model of the proposed single-phase Vienna rectifier with ALO-SM controller is developed with the MATLAB software tool. The resulting assessment confirms that the proposed ALO-SM controller-based EV charging station yields better output performance with improved stability in a shorter computation time. Finally, the result shows the proposed ALO-SM controller improves the system stability with a minimum overshoot of 1.22% with a settling time of 0.01s for the given 48V battery bank and steady-state error than the existing PSO and PSO-PI controllers respectively.