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Gas supply system in a proton exchange membrane fuel cell power system consists of hydrogen supply and oxygen supply. In order to improve the system output performance and maintain the pressure difference between the anode and cathode at the setting points under the variational load currents, a generalized predictive control strategy is applied to the gas supply system of a proton exchange membrane fuel cell in this paper. The fuel cell stack and gas supply system were modeled for the purpose of performance analysis and controller design. And then the designed generalized predictive controller was implemented to control the hydrogen flow rate and oxygen compressor voltage. The simulation results illustrated that the proposed controller can provide better response characteristics of the pressure difference, hydrogen and oxygen supply system as compared with PID controller.

The working environment of Solid Oxide Fuel Cells (SOFC) includes high temperature and speedy chemical reaction. The improved control structure and optimization method for the simplified temperature system of SOFC are proposed in this paper. It designs a real-time cascade PID controller for dynamic reactive temperatures of SOFC which vary significantly as the external disturbance or operating mode changes. Considering the efficiency of fuel utility and output power are incommensurable multiple goals, some fuzzy-based rules are introduced to solve these complex multi-objective optimization problems. The experiments’ result shows that the controllers have good robustness and quickness when the system is under the mode with external disturbances.

The photovoltaic power generation system needed to be work at the maximum power point (MPP) to get the maximum efficiency. As the MPP can be influenced by environment condition, such as temperature and irradiation, it is necessary to optimize and control the PV system operation process. In this paper, a rough Fuzzy-PID control strategy is proposed to adjusting the PV operation to make the system working efficiency. Rough Fuzzy-PID control strategy is best in dealing with time-varying and non-linear system, it is much suitable for solving the MPPT of photovoltaic system through switching pulse generation to DC/DC buck converter. These control systems are modeled and simulated in Matlab/Simulink environment.