Multiple Model Predictive Control for Solid Oxide Fuel Cells

It is difficult to control the output voltage of the Solid Oxide Fuel Cells (SOFCs) because of the system nonlinearity, load disturbance and various constraints on the actuators and the fuel utilization rate. To overcome these difficulties, this paper proposed a multiple model predictive control scheme. The nonlinearity is addressed by using multiple models that are linearized at different operating conditions. The disturbance is accommodated by directly sending the load current information to the optimizer. And the constraints are naturally handled by formulating a constrained optimization problem. The simulation results show the effectiveness of the proposed strategy.