• HARISHBABU
• Dr. Jyoti P koujalagi

This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control strategy is designed to produce regulated DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. The nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller such as proportional-integral-derivative controller. To overcome this problem, a neural network controller with back propagation algorithm is developed. to track the converter voltage output and improve the dynamic performance regardless of load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is analyzed and verified using MATLAB-Simulink. Simulation results confirm the performance of the proposed neural network exhibits better dynamic response compared to the classical proportional-integral-derivative controller.

DC-DC converter, Aritifical neural network controller, Cuk converter, PV array, pulse width modulation.

"DESIGN AND HARDWARE IMPLEMENTATION OF CLOSED LOOP CUK CONVERTER USING ARITIFICAL NEURAL NETWORK CONTROLLER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.589-594, June 2019, Available :http://www.jetir.org/papers/JETIR1907683.pdf

"DESIGN AND HARDWARE IMPLEMENTATION OF CLOSED LOOP CUK CONVERTER USING ARITIFICAL NEURAL NETWORK CONTROLLER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp589-594, June 2019, Available at : http://www.jetir.org/papers/JETIR1907683.pdf