Abstract
Abstract DC-DC converter is a basic element for stand-alone photovoltaic power conditioning system. Here, a new topology called an ANFIS (Adaptive Neuro-Fuzzy Inference System) controller based soft switched DC/DC converter with non-isolated coupled inductor has been simulated and presented for improving the power of stand-alone PV system. Both AC analysis and voltage gain is calculated for the proposed converter along with the presence of gain analysis. The steady state/dynamic performance of the non-isolated coupled inductor based converter have been analyzed using MATLAB simulation. The topology has been developed to reduce the input current ripple and to enhance the operating power conversion efficiency. To improve the dynamic response of the converter, Proportional, Integral and Derivative (PID) controller is implemented. However, the linear controllers are influenced by the system parameters of the converters; it results in reduced voltage regulation for wide variations in system parameters. Hence to over rid the limitations of analog controllers and to improve the closed-loop performance of the proposed converter, a simple ANFIS controller is proposed. Consequently, its performance of the proposed controller is compared and analyzed with PID and FL (Fuzzy Logic) controller. It is seen that the implementation of the proposed controller improves the efficiency of the system and also reduces the voltage drop across the switching operation to enhance the operating power conversion efficiency. From the analysis, it is concluded that the proposed converter improves the voltage regulation of the proposed converter. Steady state error, peak time, peak overshoot and THD are used to evaluate the performance of the proposed system. A 200 W, 100 kHz prototype model is developed and demonstrated. Finally, Experimental results are carried out to validate the efficiency of this method using FPGA – Spartan6. From the observed results, it can be revealed that the suggested converter is a feasible alternative to PV applications.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.