Adaptive Sliding Mode Fuzzy Logic Controller for PV Battery System

Abstract

This paper describes the adaptive sliding mode fuzzy logic controller to obtain maximum power from Solar panel and to get desired grid voltage from the battery system. The combination of solar panels and batteries is connected to a single grid called the DC microgrid. In a sliding mode controller with fuzzy logic, solar panels are coupled with a boost converter produce the more power, and batteries are linked to a DC bi-directional converter to provide the grid with the constant voltage. The varying solar current and the varying battery voltage are approximated using the fuzzy logic in adaptive sliding mode fuzzy logic controller. Tuning the control laws done in correspondence with Lyapunov stability analysis to achieve asymptotically stable system. Further, there are a total number of five membership functions that approximate the uncertainty which will be used to design the complex rules. The robustness of the proposed controller is ensured by comparing the sliding mode fuzzy logic controller with the conventional PID controller. For a wide range of variations in the irradiance and grid voltage from simulation results, it is obvious that the proposed controller shows the emphasized transient response with less settling time and overshoot and steady-state response with minimum mistake and high efficiency as compared with conventional PID controller.