Recent Approach of Forensic-Based Investigation Algorithm for Optimizing Fractional Order PID-Based MPPT With Proton Exchange Membrane Fuel Cell

The output power of the fuel cell (FC) is mainly depending on membrane water content, temperature, hydrogen and oxygen partial pressures. polarization curve has one global maximum to be tracked. Therefore, a robust point tracking (MPPT) highly required follow optimal operating under any conditions. In this article, recent approach forensic-based investigation (FBI) algorithm proposed identify parameters fractional order PID-based MPPT with proton exchange (PEM) cell. FBI selected due its high accuracy requirement less computational efforts. considered objective function minimized error between voltage at (VMP) actual FC terminals. To prove robustness methodology, four cases conditions are analyzed which constant content variable temperature. obtained results compared other approaches such as incremental resistance (INCR), particle swarm optimizer (PSO), invasive weed (IWO), sin-cosine (SCA), artificial ecosystem (AEO). case (1), FBI-FOPID succeeded in achieving 5185.101 W. While minimum functions second, third, fourth 2.5736 V, 1.4436 1.1568 V respectively via approach. comparison confirmed superiority FBI-based methods.