Abstract
A hybrid control scheme of the fuel cell air supply system based on model predictive control (MPC) and proportional integral differential (PID) control is proposed for adjusting the oxygen excess ratio at a given setpoint in this paper. In the proposed scheme, the cooperative control of air compressor and back pressure valve in the fuel cell air supply system is realized by MPC. When the system is in steady state under the MPC, PID is introduced, so that the steady‐state error, which is caused by the mismatch between the control model in MPC and the controlled system during MPC control, can be eliminated. To reduce the mismatch between the control model and the controlled air supply system, back propagation neural network and look‐up table method based on bilinear interpolation are used to calculate the output air flow rate and efficiency of the air compressor in the air supply system. Simulation results show that the proposed control scheme has a better performance compared with proportional integral control, active disturbance rejection control, and single MPC. In addition, the proposed control scheme also shows good fault tolerance in the case of air supply system failure.
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