DYNAMIC PERFORMANCE ENHANCEMENT OF PEM FUEL CELL USING PSO OPTIMIZED FRACTIONAL ORDER PI CONTROLLER

This study presents the designing of conventional PI, FOPI, Particle-Swarm-Optimization (PSO) algorithm optimized PI and FOPI control schemes for the performance enhancement of PEMFC system. The PSO artificial intelligence technique searches for optimal PI and FOPI parameters intelligently. The simulation results show that in comparison with conventional PI, FOPI, PSO-PI control schemes there is a remarkable improvement in rise time, settling time, overshoot and steady state error in PEMFC output with PSO-FOPI controllers. This ensures far superior and robust system output under uncertain input conditions with PSO-FOPI control scheme.