Abstract
This chapter summarises the main results presented in the book, regarding the application of Second-Order Sliding-Mode algorithms for robust control of autonomous PEM fuel cells. Several improvements to the existing control schemes and many open directions of research are proposed. Most promising issues are related to Adaptive Super-Twisting algorithms, Higher-Order Sliding-Mode MIMO Control, Model Predictive Control, and Sliding-Mode Observers for internal Fuel cell variables. As further issues related to fuel-cell-based systems, hybrid standalone systems and distributed generation systems are regarded as appealing fields for future improvements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arcak M, Gorgun H, Pedersen LM, Varigonda S (2004) A nonlinear observer design for fuel cell hydrogen estimation. IEEE Trans Control Syst Technol 12(1):101–110
Arce A, Ramirez DR, del Real AJ, Bordons C (2007) Constrained explicit predictive control strategies for PEM fuel cell systems. In: 46th IEEE conference on decision and control, New Orleans, LA
Begot S, Harel F, Kauffmann JM (2008) Design and validation of a 2 kW-fuel cell test bench for subfreezing studies. Fuel Cells 8(1):23–32
Benallouch M, Outbib R, Boutayeb M, Laroche E (2009) A new scheme on robust unknown input nonlinear observer for PEM fuel cell stack system. In: 18th IEEE international conference on control applications. Part of 2009 IEEE multi-conference on systems and control, Saint Petersburg, Russia
Bordons C et al. (2006) Constrained predictive control. Strategies for PEM fuel cells. In: Proceedings of the 2006 ACC, Minnesota, USA, June 14–16
Chen Q, Gaob L, Dougal RA, Quan S, (2009) Multiple model predictive control for a hybrid proton exchange membrane fuel cell system. J Power Sources 191(2):473–482
Danzer MA, Wittmanna SJ, Hofera EP (2009) Prevention of fuel cell starvation by model predictive control of pressure, excess ratio, and current. J Power Sources 190(1):86–91
Davila A, Moreno FA, Fridman L (2010) Variable gains super-twisting algorithm: a Lyapunov based design. In: 2010 American control conference Marriott Waterfront, Baltimore, MD, USA, 30 June–02 July
Del Real AJ, Bordons Arcea AC (2007) Development and experimental validation of a PEM fuel cell dynamic model. J Power Sources 173(1):310–324
Fiacchini M, Alamo T, Alvarado I, Camacho EF (2008) Safety verification and adaptive model predictive control of the hybrid dynamics of a fuel cell system. Int J Adapt Control Signal Process 22:142–160
Fridman L, Shtessel Y, Edwards C, Yan X (2008) Higher-order sliding-mode observer for state estimation and input reconstruction in nonlinear systems. Int J Robust Nonlinear Control 18(4–5):399–412
Gorgun H, Arcak M, Barbir F (2006) An algorithm for estimation of membrane water content in PEM fuel cells. J Power Sources 157(1):389–394
Hashem Nehrir M, Wang C (2009) Modeling and control of fuel cells. Distributed generation applications. IEEE Press, New York
Houwing M, Negenborn RR, Ilic MD, De Schutter B (2009) Model predictive control of micro cogeneration fuel cell systems. In: Proceedings of the 2009 IEEE international conference on networking, sensing, and control (ICNSC 2009), Okayama City, Japan
Kazmi IH, Bhatti AI, Iqbal S (2009) A nonlinear observer for PEM fuel cell system. In: IEEE 13th international multitopic conference
Park I, Kim S (2006) A sliding mode observer design for fuel cell electric vehicles. J Power Electron 6(2):172–177
Levant A (1998) Robust exact differentiation via sliding mode technique. Automatica 34(3):379–384
Maciejowski JM (2002) Predictive control with constraints. Prentice Hall, Harlow
Spurgeon SK (2008) Sliding mode observers: a survey. Int J Syst Sci 39(8):751–764
Thawornkuno C, Panjapornpon C (2008) Estimation of water content in PEM fuel cell. Chiang Mai J Sci 35(1):212–220
Tong S, Liu G (2007) Networked control of PEM fuel cells using an adaptive predictive control approach. In: Proceedings of the 2007 IEEE international conference on networking, sensing and control, London, UK, pp 15–17
Vahidi A, Stefanopoulou A, Peng H (2006) Current management in a hybrid fuel cell power system: a model predictive control approach. IEEE Trans Control Syst Technol 14(6):1047–1057
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this chapter
Cite this chapter
Kunusch, C., Puleston, P., Mayosky, M. (2012). Conclusions, Open Lines and Further Reading. In: Sliding-Mode Control of PEM Fuel Cells. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2431-3_7
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2431-3_7
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2430-6
Online ISBN: 978-1-4471-2431-3
eBook Packages: EngineeringEngineering (R0)