Sampled-data controller is presented for solid oxide
fuel cell systems which is expressed by a sector bounded nonlinear
model. The proposed control law is obtained by solving a convex
problem satisfying several linear matrix inequalities. Simulation
results are given to show the effectiveness of the proposed design
method.
[1] J. Padull_es, G.W. Ault, J.R. Mcdonald, An integrated SOFC plant
dynamic model for power systems simulation, Journal of Power Sources,
vol. 86, pp. 495-500, 2000.
[2] F. Mueller, F. Jabbari, R. Gaynor, J. Brouwer, Novel solid oxide fuel cell
system controller for rapid load following, Journal of Power Sources, vol.
172, pp. 208-323, 2007.
[3] X. Wang, B. Huang, T. Chen, Data-driven predictive control for solid
oxide fuel cells, Journal of Process Control, vol. 17, pp. 103-114, 2007.
[4] Jie Yang, Xi Li, Hong-Gang Mou, Li Jian, Predictive control of solid
oxide fuel cell based on an improved Takagi-Sugeno fuzzy model,
Journal of Power Sources, vol. 193, pp. 699-705, 2009.
[5] A.M. Murshed, Biao Huang., K. Nandakumar, Estimation and control of
solid oxide fuel cell system, Computers and Chemical Engineering, vol.
34, pp. 96-111, 2010.
[6] T. Zhang, G. Feng, Rapid Load Following of an SOFC Power System via
Stable Fuzzy Predictive Tracking Controller, IEEE Trans. Fuzzy Syst.,
vol. 17, no. 2, 2009.
[7] P. Park, J. W. Ko, and C. Jeong, Reciprocally convex approach to stability
of system with time-varying delays, Automatica, vol. 47, no. 1, pp.
235-238, Jan. 2011.
[8] S. Boyd, L. E. Ghaoui, E. Feron, & V. Balakrishnan, Linear matrix
inequalities in system and control theory, Philadelphia., SIAM., 1994.
[1] J. Padull_es, G.W. Ault, J.R. Mcdonald, An integrated SOFC plant
dynamic model for power systems simulation, Journal of Power Sources,
vol. 86, pp. 495-500, 2000.
[2] F. Mueller, F. Jabbari, R. Gaynor, J. Brouwer, Novel solid oxide fuel cell
system controller for rapid load following, Journal of Power Sources, vol.
172, pp. 208-323, 2007.
[3] X. Wang, B. Huang, T. Chen, Data-driven predictive control for solid
oxide fuel cells, Journal of Process Control, vol. 17, pp. 103-114, 2007.
[4] Jie Yang, Xi Li, Hong-Gang Mou, Li Jian, Predictive control of solid
oxide fuel cell based on an improved Takagi-Sugeno fuzzy model,
Journal of Power Sources, vol. 193, pp. 699-705, 2009.
[5] A.M. Murshed, Biao Huang., K. Nandakumar, Estimation and control of
solid oxide fuel cell system, Computers and Chemical Engineering, vol.
34, pp. 96-111, 2010.
[6] T. Zhang, G. Feng, Rapid Load Following of an SOFC Power System via
Stable Fuzzy Predictive Tracking Controller, IEEE Trans. Fuzzy Syst.,
vol. 17, no. 2, 2009.
[7] P. Park, J. W. Ko, and C. Jeong, Reciprocally convex approach to stability
of system with time-varying delays, Automatica, vol. 47, no. 1, pp.
235-238, Jan. 2011.
[8] S. Boyd, L. E. Ghaoui, E. Feron, & V. Balakrishnan, Linear matrix
inequalities in system and control theory, Philadelphia., SIAM., 1994.
@article{"International Journal of Electrical, Electronic and Communication Sciences:70455", author = "H. Y. Jung and Ju H. Park and S. M. Lee", title = "Sampled-Data Control for Fuel Cell Systems", abstract = "Sampled-data controller is presented for solid oxide
fuel cell systems which is expressed by a sector bounded nonlinear
model. The proposed control law is obtained by solving a convex
problem satisfying several linear matrix inequalities. Simulation
results are given to show the effectiveness of the proposed design
method.", keywords = "Sampled-data control, Sector bound, Solid oxide fuel
cell, Time-delay.", volume = "9", number = "8", pages = "775-4", }