Design and Simulation of Fuzzy Controller Based Multi Input Cuk Converter For DC Grid System

Chandra Bhushan Gupta*, N. Prema Kumar **
* PG Scholar, Department of Electrical Engineering, Andhra University College of Engineering (Autonomous), Visakhapatnam,Andhra Pradesh, India..
** Professor, Department of Electrical Engineering, College of Engineering (Autonomous), Andhra University, Visakhapatnam, Andhra Pradesh, India.
Periodicity:May - July'2018


In this paper, a multi input Cuk converter is designed and simulated using a fuzzy logic controller. Multi input Cuk converter have their own applications in DC grid system that can be used to integrate multiple sources together and then create a common DC bus bar. Conventionally, a separate DC-DC converter is required to produce output of each source. This creates a complex network and is also not a cost effective solution. Therefore, a combined converter model is created and simulated in MATLAB using intelligent fuzzy logic controller approach. This helps in minimization of ripple content, power quality improvement, flexibility, and it is efficient in regulation of DC bus voltage. A single stage Cuk converter is designed first using Pulse Width Modulation (PWM) as the control of duty cycle and later using PI controller. The waveform response in both conditions were noted down and analysis were done. Then a fuzzy logic controller for single source is implemented with intelligent algorithm. Improvement in signal quality was noted down with the use of fuzzy logic and later it was incorporated in creating a multi input Cuk converter. Only DC input integration of multiple energy either renewable or non-renewable sources is discussed in this paper.


Multi Input Cuk Converter, Fuzzy Controller, PI Controller, Single Stage Cuk Converter, Ripple Minimization, DC Voltage Regulation, Photovoltaic

How to Cite this Article?

Gupta, C.B., & Kumar, N. P. (2018). Design and Simulation of Fuzzy Controller Based Multi Input CUK Converter for Dc Grid System. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 28-35.


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