Optimal fuel cell control modeling with feedback linearization and adaptive sliding mode control

This paper proposes a Feedback Linearization-based Adaptive Sliding Mode Controller (FLC-ASMC) to address the coordinated control of gas flow and pressure in the anode and cathode of automotive Proton Exchange Membrane Fuel Cell (PEMFC) systems. Considering the nonlinear and strongly coupled characteristics of PEMFC systems, feedback linearization is employed to decouple the relationship between flow and pressure. The adaptive sliding mode control technique is then integrated to adjust control parameters in real time, ensuring that the anode-cathode pressure difference remains within a reasonable range. The research results demonstrate that the accuracy of traditional PID control is approximately 85%, while classical Sliding Mode Control (SMC) improves accuracy to 90%-92%. The FLC-ASMC further enhances control accuracy to over 95%, exhibiting the best performance. Experimental results validate that this controller not only effectively controls the pressure difference but also significantly improves the system's robustness and lifespan, providing a reliable guarantee for the efficient and stable operation of fuel cell systems.