Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

In this study, the most promising technology available, a fuel cell stack called a “Polymer-Electrolyte Membrane (PEMFC),” is used to power a brushless DC motor. To enhance the PEMFC’s functionality, a robust “maximum power point tracking” (MPPT) algorithm was used in the DC/DC boost circuit. The “perturbation and observation” (P&O) method was developed for this purpose. In this paper, we present a self-tuning PI-fuzzy logic controller (FLC) for the speed of brushless DC (BLDC) motors. The effectiveness of the proposed controller was evaluated using simulated load disturbances and reference speed fluctuations. Hence, the rise time (R.T), settling time (S.T), steady-state error (S.S.E), overshoot (OVER), undershoot (UNDER), peak time (P.T), and peak value (P.V) are computed and examined as part of the required control performance characteristics. PEMFC source optimization with load variation and BLDC speed regulation is the key contribution of this study. The findings of this study have the potential to lead to the development of more efficient, sustainable energy systems that would be good for the planet and cheaper to operate. The results further demonstrate that the controller performs admirably across a wide range of speeds and loads since the PEMFC battery reliably supplies the power required for the BLDC motor.