Fault-Tolerant MPC Control of PEM Fuel Cells

Abstract In this paper, fault-tolerant MPC control of PEM fuel cells is addressed. MPC is a suitable control methodology to control fuel cell systems because of their multivariable and complex behaviour. Additionally, MPC is one of the control methodologies that can introduce more easily fault-tolerance. However, the problem of including actuator fault-tolerance in the control loops of these systems has not already been addressed in the literature. This work is focused on the air feeding control. A new control structure that not only uses the compressor voltage as a control variable but also the air valve opening area at the cathode output is considered to improve the fault-tolerance of the air feeding subsystem. It is shown that using this additional control permits to introduce fault-tolerance against compressor faults at the same time that allows to improve control performance. Finally, the proposed approach is assessed on a known test bench PEM fuel cell through simulation.

[1]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design , 2004 .

[2]  M. V. Iordache,et al.  Diagnosis and Fault-Tolerant Control , 2007, IEEE Transactions on Automatic Control.

[3]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[4]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[5]  Anna G. Stefanopoulou,et al.  Control-Oriented Modeling and Analysis for Automotive Fuel Cell Systems , 2004 .

[6]  C. Bordons,et al.  Constrained predictive control strategies for PEM fuel cells , 2006, 2006 American Control Conference.

[7]  Diego Feroldi,et al.  Performance improvement of a PEMFC system controlling the cathode outlet air flow , 2007 .

[8]  Lino Guzzella,et al.  Optimal power management of an experimental fuel cell/supercapacitor-powered hybrid vehicle , 2005 .

[9]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems , 2004 .

[10]  Mohammad S. Alam,et al.  Neural networks-based control of active and reactive power of a stand-alone PEM fuel cell power plant , 2004 .

[11]  Belkacem Ould-Bouamama,et al.  Model based PEM fuel cell state-of-health monitoring via ac impedance measurements , 2006 .

[12]  Joaquín Aguado,et al.  Controllability analysis of decentralised linear controllers for polymeric fuel cells , 2005 .

[13]  M.G. Simoes,et al.  Neural optimal control of PEM fuel cells with parametric CMAC networks , 2003, IEEE Transactions on Industry Applications.

[14]  James Larminie,et al.  Fuel Cell Systems Explained , 2000 .

[15]  Anna G. Stefanopoulou,et al.  Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach , 2006, IEEE Transactions on Control Systems Technology.

[16]  James B. Rawlings,et al.  Tutorial overview of model predictive control , 2000 .