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2012 | OriginalPaper | Buchkapitel

7. Conclusions, Open Lines and Further Reading

verfasst von : Cristian Kunusch, Paul Puleston, Miguel Mayosky

Erschienen in: Sliding-Mode Control of PEM Fuel Cells

Verlag: Springer London

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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.

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Literatur
1.
Zurück zum Zitat 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 CrossRef 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 CrossRef
2.
Zurück zum Zitat 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 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
3.
Zurück zum Zitat 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 CrossRef 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 CrossRef
4.
Zurück zum Zitat 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 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
5.
Zurück zum Zitat Bordons C et al. (2006) Constrained predictive control. Strategies for PEM fuel cells. In: Proceedings of the 2006 ACC, Minnesota, USA, June 14–16 Bordons C et al. (2006) Constrained predictive control. Strategies for PEM fuel cells. In: Proceedings of the 2006 ACC, Minnesota, USA, June 14–16
6.
Zurück zum Zitat 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 CrossRef 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 CrossRef
7.
Zurück zum Zitat 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 CrossRef 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 CrossRef
8.
Zurück zum Zitat 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 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
9.
Zurück zum Zitat 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 CrossRef 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 CrossRef
10.
Zurück zum Zitat 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 MathSciNetMATHCrossRef 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 MathSciNetMATHCrossRef
11.
Zurück zum Zitat 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 MathSciNetCrossRef 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 MathSciNetCrossRef
12.
Zurück zum Zitat 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 CrossRef 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 CrossRef
13.
Zurück zum Zitat Hashem Nehrir M, Wang C (2009) Modeling and control of fuel cells. Distributed generation applications. IEEE Press, New York Hashem Nehrir M, Wang C (2009) Modeling and control of fuel cells. Distributed generation applications. IEEE Press, New York
14.
Zurück zum Zitat 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 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
15.
Zurück zum Zitat Kazmi IH, Bhatti AI, Iqbal S (2009) A nonlinear observer for PEM fuel cell system. In: IEEE 13th international multitopic conference Kazmi IH, Bhatti AI, Iqbal S (2009) A nonlinear observer for PEM fuel cell system. In: IEEE 13th international multitopic conference
16.
Zurück zum Zitat Park I, Kim S (2006) A sliding mode observer design for fuel cell electric vehicles. J Power Electron 6(2):172–177 Park I, Kim S (2006) A sliding mode observer design for fuel cell electric vehicles. J Power Electron 6(2):172–177
18.
Zurück zum Zitat Maciejowski JM (2002) Predictive control with constraints. Prentice Hall, Harlow Maciejowski JM (2002) Predictive control with constraints. Prentice Hall, Harlow
20.
Zurück zum Zitat Thawornkuno C, Panjapornpon C (2008) Estimation of water content in PEM fuel cell. Chiang Mai J Sci 35(1):212–220 Thawornkuno C, Panjapornpon C (2008) Estimation of water content in PEM fuel cell. Chiang Mai J Sci 35(1):212–220
21.
Zurück zum Zitat 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 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
22.
Zurück zum Zitat 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 CrossRef 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 CrossRef
Metadaten
Titel
Conclusions, Open Lines and Further Reading
verfasst von
Cristian Kunusch
Paul Puleston
Miguel Mayosky
Copyright-Jahr
2012
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-2431-3_7

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