An Fuzzy improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for Microbial Fuel Cells

Microbial fuel cells (MFCs) are getting more and more attention due to their unique wastewater treatment and synchronous power generation capabilities. In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow tracking speed and serious steady-state oscillation in the traditional perturb & observe algorithm (P&O), an improved P&O method based on fuzzy control is proposed, a fuzzy logic controller is designed to adjust the disturbance step in real time to quickly find the maximum power point and make the MFC run stably at the maximum power point. Simulation results show that the proposed fuzzy improved P&O method can greatly improve the response speed, reduce the steady-state oscillation, and effectively resist the influence of various disturbances.