Design, Simulation and Analysis of DC–DC Cuk LED Drivers

Light Emitting Diodes (LED) have achieved great success in the lighting industry due to their superior qualities when compared to conventional lighting solutions. These qualities include a long lifespan, minimal maintenance needs, environmental friendliness, high luminous efficiency, controllability of both light and color, reliability, and high-power density. In the lighting business, LED driver design is crucial. They protect the LED from changes in power and voltage. In this study, various LED drivers are compared using a DC/DC Cuk converter that can operate in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM). A new novel flicker free PV based interleaved non-inverting DC–DC cuk LED driver is proposed in this research work. There is a brief evaluation and comparison of the performance parameters of integrated cuk-sepic converter, non-inverting cuk converter (NICC), conventional cuk converter, and interleaved non-inverting cuk converter. For the proposed LED driver, an Artificial Neural Network (ANN) method is implemented to reduce the ripple value by optimizing the specific values of capacitor, inductance, and switching frequency. The MATLAB/SIMULINK software is utilized to simulate the circuit configuration for the recommended topology, and the outcomes are validated.