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

Abstract

Environmental pollution, depletion of fossil fuel reserves and energy needs of a growing world population, are among the important issues concerning the future of energy. In this context, fuel cells are 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. Experimental temperature control is conducted with fuzzy control technique over the systems. Then, useful and simple mathematical model that can adequately represent the system is established and the parameters of this model are determined by particle swarm optimization (PSO) method using experimental data. In addition, ANFIS model of the system with the 4-input and 1 output is established through the polarization curves. Also, membership function types and numbers of input variables having an impact on the ANFIS modeling are investigated. Beside to the experimental PID concentration control with sensor, ANFIS is tested for the sensor-less concentration control over the mathematical model in the simulation studies.