Abstract
In this chapter, a model-based robust control is proposed for PEMFC system, based on SOSM algorithm. The control objective is to maximize the fuel cell net power and avoid the oxygen starvation by regulating the oxygen excess ratio to its desired value during fast load variations. The oxygen excess ratio is estimated via an ESO from the measurements of the compressor flow rate, the load cu rrent and supply manifold pressure.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arcak, M., Görgün, H., Pedersen, L.M., Varigonda, S.: A nonlinear observer design for fuel cell hydrogen estimation. IEEE Trans. Control Syst. Technol. 12(1), 101–110 (2004)
Arce, A., del Real, A., Bordons, C., Ramirez, D.: Real-time implementation of a constrained MPC for efficient airflow control in a pem fuel cell. IEEE Trans. Ind. Electron. 57(6), 1892–1905 (2010)
Bartolini, G., Pisano, A., Punta, E., Usai, E.: A survey of applications of second-order sliding mode control to mechanical systems. Int. J. Control 76(9–10), 875–892 (2003)
Berning, T., Lu, D., Djilali, N.: Three-dimensional computational analysis of transport phenomena in a PEM fuel cell. J. Power Sources 106(1), 284–294 (2002)
Carrette, L., Friedrich, K., Stimming, U.: Fuel cells-fundamentals and applications. Fuel Cells 1(1), 5–39 (2001)
Damour, C., Benne, M., Lebreton, C., Deseure, J., Grondin-Perez, B.: Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell. Int. J. Hydrog. Energy 39(24), 12819–12825 (2014)
Danzer, M., Wilhelm, J., Aschemann, H., Hofer, E.: Model-based control of cathode pressure and oxygen excess ratio of a PEM fuel cell system. J. Power Sources 176(2), 515–522 (2008)
Garcia-Gabin, W., Dorado, F., Bordons, C.: Real-time implementation of a sliding mode controller for air supply on a PEM fuel cell. J. Process Control 20(3), 325–336 (2010)
Gruber, J., Bordons, C., Oliva, A.: Nonlinear MPC for the airflow in a PEM fuel cell using a volterra series model. Control Eng. Pract. 20(2), 205–217 (2012)
Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906 (2009)
Hu, X., Murgovski, N., Johannesson, L.M., Egardt, B.: Optimal dimensioning and power management of a fuel cell/battery hybrid bus via convex programming. IEEE/ASME Trans. Mechatron. 20(1), 457–468 (2015)
Hung, J.Y., Gao, W., Hung, J.C.: Variable structure control: a survey. IEEE Trans. Ind. Electron. 40(1), 2–22 (1993)
Jang, M., Ciobotaru, M., Agelidis, V.G.: Design and implementation of digital control in a fuel cell system. IEEE Trans. Ind. Inform. 9(2), 1158–1166 (2013)
Jemeï, S., Hissel, D., Pera, M.C., Kauffmann, J.M.: A new modeling approach of embedded fuel-cell power generators based on artificial neural network. IEEE Trans. Ind. Electron. 55(1), 437–447 (2008)
Jung, J.H., Ahmed, S., Enjeti, P.: PEM fuel cell stack model development for real-time simulation applications. IEEE Trans. Ind. Electron. 58(9), 4217–4231 (2011)
Kunusch, C., Puleston, P., Mayosky, M., Riera, J.: Sliding mode strategy for PEM fuel cells stacks breathing control using a super-twisting algorithm. IEEE Trans. Control Syst. Technol. 17(1), 167–174 (2009)
Laghrouche, S., Liu, J., Ahmed, F.S., Harmouche, M., Wack, M.: Adaptive second-order sliding mode observer-based fault reconstruction for PEM fuel cell air-feed system. IEEE Trans. Control Syst. Technol. 23(3), 1098–1109 (2015)
Levant, A.: Robust exact differentiation via sliding mode technique. Automatica 34(3), 379–384 (1998)
Levant, A.: Higher-order sliding modes, differentiation and output-feedback control. Int. J. Control 76(9–10), 924–941 (2003)
Matraji, I., Laghrouche, S., Jemei, S., Wack, M.: Robust control of the PEM fuel cell air-feed system via sub-optimal second order sliding mode. Appl. Energy 104, 945–957 (2013)
Meidanshahi, V., Karimi, G.: Dynamic modeling, optimization and control of power density in a PEM fuel cell. Appl. Energy 93, 98–105 (2012)
Muller, E.A., Stefanopoulou, A.G., Guzzella, L.: Optimal power control of hybrid fuel cell systems for an accelerated system warm-up. IEEE Trans. Control Syst. Technol. 15(2), 290–305 (2007)
Pilloni, A., Pisano, A., Usai, E.: Observer-based air excess ratio control of a PEM fuel cell system via high-order sliding mode. IEEE Trans. Ind. Electron. 62(8), 5236–5246 (2015)
Pisano, A., Davila, A., Fridman, L., Usai, E.: Cascade control of PM DC drives via second-order sliding-mode technique. IEEE Trans. Ind. Electron. 55(11), 3846–3854 (2008)
Pukrushpan, J., Peng, H., Stefanopoulou, A.: Control-oriented modeling and analysis of fuel cell reactant flow for automotive fuel cell systems. ASME J. Dyn. Syst. Meas. Control 126(1), 14–25 (2004)
Pukrushpan, J.T., Stefanopoulou, A.G., Peng, H.: Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design. Springer Science & Business Media (2004)
Rakhtala, S.M., Noei, A.R., Ghaderi, R., Usai, E.: Design of finite-time high-order sliding mode state observer: a practical insight to PEM fuel cell system. J. Process. Control 24(1), 203–224 (2014)
Ramos-Paja, C.A., Giral, R., Martinez-Salamero, L., Romano, J., Romero, A., Spagnuolo, G.: A pem fuel-cell model featuring oxygen-excess-ratio estimation and power-electronics interaction. IEEE Trans. Ind. Electron. 57(6), 1914–1924 (2010)
Shtessel, Y., Taleb, M., Plestan, F.: A novel adaptive-gain supertwisting sliding mode controller: methodology and application. Automatica 48(5), 759–769 (2012)
Suh, K.W., Stefanopoulou, A.G.: Performance limitations of air flow control in power-autonomous fuel cell systems. IEEE Trans. Control. Syst. Technol. 15(3), 465–473 (2007)
Talole, S.E., Kolhe, J.P., Phadke, S.B.: Extended-state-observer-based control of flexible-joint system with experimental validation. IEEE Trans. Ind. Electron. 57(4), 1411–1419 (2010)
Vahidi, A., Stefanopoulou, A., Peng, H.: Current management in a hybrid fuel cell power system: a model-predictive control approach. IEEE Trans. Control Syst. Technol. 14(6), 1047–1057 (2006)
Vepa, R.: Adaptive state estimation of a PEM fuel cell. IEEE Trans. Energy Convers. 27(2), 457–467 (2012)
Wilhelm, A.N., Surgenor, B.W., Pharoah, J.G.: Design and evaluation of a micro-fuel-cell-based power system for a mobile robot. IEEE/ASME Trans. Mechatron. 11(4), 471–476 (2006)
Zhao, D., Gao, F., Bouquain, D., Dou, M., Miraoui, A.: Sliding-mode control of an ultrahigh-speed centrifugal compressor for the air management of fuel-cell systems for automotive applications. IEEE Trans. Veh. Technol. 63(1), 51–61 (2014)
Zheng, Q., Chen, Z., Gao, Z.: A practical approach to disturbance decoupling control. Control. Eng. Pract. 17(9), 1016–1025 (2009)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Liu, J., Gao, Y., Yin, Y., Wang, J., Luo, W., Sun, G. (2020). Sliding Mode Control of PEMFC Systems. In: Sliding Mode Control Methodology in the Applications of Industrial Power Systems. Studies in Systems, Decision and Control, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-030-30655-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-30655-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30654-0
Online ISBN: 978-3-030-30655-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)