Control Applications (ANFIS/Fuzzy/PID) over Mathematical Model of DMFC System: Experimental and Simulation Studies

摘要

Environmental pollution, depletion of fossil fuel reserves and energy needs of a growing worldpopulation, are among the important issues concerning the future of energy. In this context, fuel cellsare considered as alternative energy sources. In this study, one cell direct methanol fuel cell system,consisting of various sensors and control elements and controlling system are built. Experimentaltemperature control is conducted with fuzzy control technique over the systems. Then, useful andsimple mathematical model that can adequately represent the system is established and the parametersof this model are determined by particle swarm optimization (PSO) method using experimental data. Inaddition, ANFIS model of the system with the 4-input and 1 output is established through thepolarization curves. Also, membership function types and numbers of input variables having an impacton the ANFIS modeling are investigated. Beside to the experimental PID concentration control withsensor, ANFIS is tested for the sensor-less concentration control over the mathematical model in thesimulation studies.