PSO-TVAC BASED OPTIMIZED FOPID CONTROLLER FOR CASCADED DC-DC BOOST CONVERTER

DC-DC converters are widely utilized in power circuits and are essential in a variety of power electronic circuits. With a DC-DC converter control, the output voltage remains constant regardless of changes in the input/source voltage. This article designs and simulates a FOPID controller to improve the overall performance of a cascaded DC-DC boost converter. The particle swarm optimizer with the time-varying acceleration coefficients (PSO-TVAC algorithm is used to optimize the performance of FOPID and PID controllers to regulate the converter output voltage. The recommended algorithm achieves superior results while using less computing time than a basic PSO algorithm. Furthermore, a time-domain performance index called ITSE is defined as the objective function, and ISE, ITAE, and IAE are determined as evaluation functions in developing and measuring the performance of controllers. The behavior of the controllers is studied by changing the values of the input voltages in different scenarios. The transient response of the proposed system is implemented and analyzed using MATLAB/Simulink software. According to the results, the FOPID controller significantly reduces overshoot, rise, and settling time compared to the PID one.