Active Disturbance Rejection-Based Performance Optimization and Control Strategy for Proton-Exchange Membrane Fuel Cell System

In this paper, to maximize the net output power and realize better performance optimization control of oxygen excess ratio, a complete dynamic model proton-exchange membrane fuel cell system is developed an active disturbance rejection strategy proposed. The drives uncertainties perturbations extended state, which predicted eliminated by real-time input–output data. simulation results indicate that, compared with proportion–integral–differential fuzzy control, can effectively improve lower cost less wear on compressor, integral absolute error ratio reduced up 50%. addition, voltage improved generation efficiency under rejection-based 1.84% 0.95% higher than that respectively. Moreover, proposed optimal-reference increases 1.85% fixed-reference strategy.