Design of CCM boost converter using fractional-order PID and neural-network techniques for power factor correction

The most important factors that guarantee good operation are power quality (PQ) criteria such as the following: power factor (PF), total harmonic distortion (THD), and proper output regulation. This paper shows that the conventional uncontrolled diode bridge rectifier introduces a pulsed current on the input side. It proposes an active wave-shaping control system approach to deal with the problem straightforwardly and effectively. Shifting it closer to unity improves the PF, and the parameters of THD remain within their limits. Additionally, it regulates the generated voltage. The control system implemented here will cascade with a fractional-order proportional-integral-derivative (PID) controller optimized using Antlion optimization (ALO) as its outer loop. This PID controller takes the output voltage as input and adjusts the amplitude of the reference current for the inductor. Conversely, the inner loop is based on the neural networks (NN) adaptive approach to track the reference current to the inductor accurately. A cascade controller in the suggested scheme tends to assure the desired performance and results in satisfactory PQ. Ultimately, the analysis of the simulation results attests to significant robustness and a gain in dynamics across a wide range of challenging cases.