Neural Generalized Predictive Control for Tracking Maximum Efficiency and Maximum Power Points of PEM Fuel Cell Stacks

Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

“…After that, the controller determines the best actuation based on a predetermined optimization criterion [22]. Pereira et al [23] proposed a neural generalized predictive control (NGPC) for the PEMFC system. A DC-DC boost converter was connected to the PEMFC stack which having the current control loop with a proportional-integral controller.…”

“…In this paper, a new predictive MPPT method will be investigated for the PEMFC system to generate the power at MPP. The algorithm of the proposed predictive MPPT technique is different from the method in [23]. However, it is similar to the method in [24] with an MPPT algorithm that can track the MPP.…”

Real-Time Implementation of a New MPPT Control Method for a DC-DC Boost Converter Used in a PEM Fuel Cell Power System

“…Simulation results have demonstrated the effectiveness of the proposed algorithm to track the MPP with high robustness and low steady-state oscillations. The authors of [41] proposed neural generalized model predictive control (NGMPC) aiming to track the maximum efficiency or the MPP of a grid-connected fuel cell power system. Simulation results have proved the effectiveness of the proposed method to track the desired power point.…”