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Adaptive Backstepping Fuzzy Logic Controller for the PV battery system

A. AmbikapathyElectrical and Electronics Engineering Galgotias College of Engineering & Technology,Greater Noida,IndiaArunprasad GovindharajElectrical and Electronics Engineering Galgotias College of Engineering & Technology,Greater Noida,IndiaPrakhar DixitGalgotias college of Engineering and Technology,Dept. of Electrical and Electronics Engineering,Greater noida, G.B Nagar,INDIA (of AKTU)Shreya YadavGalgotias college of Engineering and Technology,Dept. of Electrical and Electronics Engineering,Greater noida, G.B Nagar,INDIA (of AKTU)Ezhilan ThirunavukkarasuElectrical and Electronics Engineering Galgotias College of Engineering & Technology,Greater Noida,IndiaSudhakar SinghGalgotias college of Engineering and Technology,Dept. of Electrical and Electronics Engineering,Greater noida, G.B Nagar,INDIA (of AKTU)Shaky Neetu TulsiramGalgotias college of Engineering and Technology,Dept. of Electrical and Electronics Engineering,Greater noida, G.B Nagar,INDIA (of AKTU)S ArunPrathyusha Engineering College,Dept. of Electronics and Communication Engineering,Tamilnadu,India

2022en

ABI

Annotatsiya

In this paper adaptive back stepping fuzzy logic controller is designed to extract the maximum power for PV panel and to get the desired grid voltage for the battery in the PV battery system in order to get the enhanced transient and steady state responses. The control law is designed based on the back stepping procedure in which the asymptotically stable system is achieved by using Lyapunov Control function. In the proposed controller fuzzy logic is employed to approxmate the uncertainties caused by the irradiance and temperature which estimate the varying solar current. Simulations are done for the wide range of variations in the grid voltage and irradiance for the proposed controller. To ensure the robustness of the proposed controller it is compared with the convention PID controller. Based on the results the proposed controller shows the enriched transient and steady state responses with better settling time and minimum overshoot.

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Identifikatorlar

DOI: 10.1109/icacite53722.2022.9823828

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