10.1007/s40095-019-0307-y

Decoupled inputs sliding mode controllers for a fuel cell-supercapacitor module in hybrid generation applications

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  • Jerónimo J. Moré*1,
  • Paul F. Puleston1,
  • Enric Fossas2,
  • Cristian Kunusch3,
  1. Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata and CONICET, La Plata, AR
  2. Institut IOC and Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona, ES
  3. Brose Fahrzeugteile GmbH, Wũrzburg, 97076, DE
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Published in Issue 2019-05-24

How to Cite

Moré, J. J., Puleston, P. F., Fossas, E., & Kunusch, C. (2019). Decoupled inputs sliding mode controllers for a fuel cell-supercapacitor module in hybrid generation applications. International Journal of Energy and Environmental Engineering, 10(3 (September 2019). https://doi.org/10.1007/s40095-019-0307-y
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Abstract

Abstract The development of Multiple Input/Multiple Output (MIMO) sliding mode control setups for a fuel cell/supercapacitor module is presented in this paper. The main objective of the proposed controllers consists in simultaneously satisfying the demand and regulating the DC bus voltage, even in the presence of model uncertainties and strongly varying operating conditions. Two design approaches are utilized to synthetise different control setups, each one capable to robustly deal with such control challenges: on one hand, variable-gains first-order sliding mode and, on the other, supert-wisting second-order sliding mode control. The stability of the nonlinear controlled system is formally analysed. Extensive simulations are conducted, to comparatively assess the performance of the proposed MIMO sliding mode controllers. Both control setups exhibited highly satisfactory results, demonstrating robustness to external disturbances and parameter variations, proving to be more suitable than classic linear PID controllers.

Keywords

  • Fuel cell,
  • Supercapacitors,
  • Hybrid system,
  • Sliding mode control
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References

  1. Kunusch et al. (2012) Springer https://doi.org/10.1007/978-1-4471-2431-3
  2. Saini et al. (2015) Performance evaluation and simulation of solar panel. Wind mill, fuel cell hybrid system for small scale energy harvesting 3(6) https://doi.org/10.7763/JOCET.2015.V3.234
  3. Özgirgin, E., Devrim, Y., Albostan, A.: Modeling and simulation of a hybrid photovoltaic (PV) module-electrolyzer-PEM fuel cell system for micro-cogeneration applications. Int. J. Hydrog. Energy
  4. 40
  5. (44), 15336 (2015).
  6. https://doi.org/10.1016/j.ijhydene.2015.06.122
  7. . (
  8. The 4th International Conference on Nuclear and Renewable Energy Resources (NURER2014), 26–29 October 2014, Antalya, Turkey
  9. )
  10. Sedghisigarchi, K., Davari, A., Famouri, P.: Dynamic modeling and control of a fuel cell for electric vehicle applications. In: Vehicle Power and Propulsion Conf. (VPPC), IEEE, pp. 1–5 (2011).
  11. https://doi.org/10.1109/VPPC.2011.6043131
  12. Torreglosa et al. (2015) Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system https://doi.org/10.1016/j.renene.2014.08.010
  13. Edwards and Demuren (2016) Regression analysis of PEM fuel cell transient response 7(3) https://doi.org/10.1007/s40095-016-0209-1
  14. Cheng (2010) Assessments of energy capacity and energy losses of supercapacitors in fast charging-discharging cycles 25(1) https://doi.org/10.1109/TEC.2009.2032619
  15. Rouholamini and Mohammadian (2015) Energy management of a grid-tied residential-scale hybrid renewable generation system incorporating fuel cell and electrolyzer https://doi.org/10.1016/j.enbuild.2015.05.046
  16. Thomas (2012) Analytical non-linear model predictive control for hybrid systems with discrete inputs only 6(8) https://doi.org/10.1049/iet-cta.2010.0675
  17. Dey, S., Dash, R., Swain, S.: Fuzzy based optimal load management in standalone hybrid solar PV /wind/fuel cell generation system. In: International Conference on Communication, Control and Intelligent Systems (CCIS), pp. 486–490 (2015)
  18. Kraa, O., Saadi, R., Becherif, M., Ayad, M.Y.: Flatness and sliding mode based controller of fuel cell and supercapacitors hybrid source. In: 2015 3rd International Conference on Control, Engineering Information Technology (CEIT), pp. 1–6 (2015).
  19. https://doi.org/10.1109/CEIT.2015.7233183
  20. Shtessel et al. (2014) Birkhäuser https://doi.org/10.1007/978-0-8176-4893-0
  21. Fridman and Barbot (2016) IET
  22. Li et al. (2018) Springer International Publishing https://doi.org/10.1007/978-3-319-62896-7
  23. Derbeli, M., Farhat, M., Barambones, O., Sbita, L.: Control of PEM fuel cell power system using sliding mode and super-twisting algorithms. Int J Hydrog Energy
  24. 42
  25. (13), 8833 (2017).
  26. https://doi.org/10.1016/j.ijhydene.2016.06.103
  27. . (
  28. Hydrogen Fuel Cell & Renewable Energy Techniques: The 8th International Conference on Renewable Energy (CIER-2015), 21–23 December 2015, Sousse, Tunisia
  29. )
  30. Kraa, O., Ghodbane, H., Saadi, R., Ayad, M., Becherif, M., Aboubou, A., Bahri, M.: Energy management of fuel cell/ supercapacitor hybrid source based on linear and sliding mode control. Energy Proc.
  31. 74
  32. , 1258 (2015).
  33. https://doi.org/10.1016/j.egypro.2015.07.770
  34. . (
  35. The Int. Conf. on Tech. and Materials for Ren. Energy, Environment and Sustainability (TMREES15)
  36. )
  37. Ashok and Shtessel (2015) Control of fuel cell-based electric power system using adaptive sliding mode control and observation techniques 352(11) https://doi.org/10.1016/j.jfranklin.2015.04.010
  38. Ashok et al. (2017) Sliding mode control of hydrogen fuel cell and ultracapacitor based electric power system: electric vehicle application 50(1) https://doi.org/10.1016/j.ifacol.2017.08.2552
  39. More et al. (2015) Development and implementation of a supervisor strategy and sliding mode control setup for fuel-cell-based hybrid generation systems PP(99) https://doi.org/10.1109/TEC.2014.2354553
  40. Guezennec, Y., Choi, T., Paganelli, G., Rizzoni, G.: Supervisory control of fuel cell vehicles and its link to overall system efficiency and low-level control requirements. In: Proceedings of the American Control Conference. Denver, Colorado (2003)
  41. Utkin et al. (1999) Taylor and Francis
  42. Sira-Ramirez (1988) Differential geometric methods in variable structure control 48(5) https://doi.org/10.1080/00207178808906256