Nonlinear modelling of a SOFC stack by improved neural networks identification

Journal of Zhejiang University: Science A

Volumn 8, Issue 9, 2007, Pages 1505-1509

  Wu, Xiao Juan ^a   Zhu, Xin Jian ^a   Cao, Guang Yi ^a   Tu, Heng Yong ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Genetic algorithm (GA); Neural networks; Radial basis function (RBF); Solid oxide fuel cells (SOFCs)

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS;

CONVERSION LAWS; INTERNAL COMPLEXITIES; ONLINE CONTROLLER; SOFC STACK;

SOLID OXIDE FUEL CELLS (SOFC);

EID: 34548321478     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.2007.A1505     Document Type: Article

References (16)

1. Ai-Amoudi, A., Zhang, L., 2000. Application of radial basis function network for solar-array modeling and maximum power-point prediction. IEE Proc.-Gener. Transm. Distrib., 147(5):310-316. [doi:10.1049/ip-gtd:20000605]
2. Arriagada, J., Olausson, P., Selimovic, A., 2002. Artificial neural network simulator for SOFC performance prediction. J. Power Sources, 112(1):54-60. [doi:10.1016/S0378-7753(02)00314-2]
3. Balland, L., Estel, L., Cosmao, J.M., Mouhab, N., 2000. A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters. Chemometrics and Intelligent Laboratory Systems, 50(1):121-135. [doi:10.1016/S0169-7439(99)00057-X]
4. Bove, R., Lunghi, P., Sammes, N.M., 2005. SOFC mathematic model for systems simulations-Part 2: definition of an analytical model. Int. J. Hydrogen Energy, 30(2):189-200. [doi:10.1016/j.ijhydene.2004.04.018]
5. Calise, F., Dentice d'Accadia, M., Palombo, A., Vanoli, L., 2006. Simulation and exnergy analysis of a hybrid Solid Oxide Fuel Cell (SOFC)-Gas Turbine System. Energy, 31(15):3278-3299. [doi:10.1016/j.energy.2006.03.006]
6. Chang, C.C., Lin, C.J., 2001. LIBSVM: A Library for Support Vector Machines. http://www.csie.nut.edu.tw/:_cjlin/libsvm
7. Costamagna, P., Magistri, L., Massardo, A.F., 2001. Design and part-load performance of a hybrid system based on a solid oxide fuel cell reactor and a micro gas turbine. J. Power Sources, 96(2):352-368. [doi:10.1016/S0378-7753(00) 00668-6]
8. Gao, Y., Shi, L., Yao, P.J., 2000. Study on Multi-Objective Genetic Algorithm. Proceedings of the 3D World Congress on Intelligent Control and Automation. Hefei, China, p.646-650.
9. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley.
10. Hall, D.J., Colclaser, R.G., 1999. Transient modeling and simulation of a tubular solid oxide fuel cell. IEEE Transaction on Energy Conversion, 14(3):749-753. [doi:10.1109/60.790946]
11. Huo, H.B., Zhu, X.J., Cao, G.Y., 2006. Nonlinear modeling of a SOFC stack based on a least squares support vector machine. J. Power Sources, 160(1):293-298. [doi:10.1016/j.jpowsour.2006.07.031]
12. Lunghi, P., Ubertini, U., 2001. Solid Oxide Fuel Cells and Regenerated Gas Turbines Hybrid Systems: A Feasible Solution for Future Ultra High Efficiency Power Plants. Proceedings of the Seventh International Symposium on Solid Oxide Fuel Cells (SOFC-VII). Tsukuba, Ibaraki, Japan, p.254-264.
13. Nehter, P., 2006. Two-dimensional transient model of a cascaded micro-tubular solid oxide fuel cell fed with methane. J. Power Sources, 157(1):325-334. [doi:10.1016/j.jpowsour.2005.07.077]
14. Recknagle, K.P., Williford, R.E., Chick, L.A., Rector, D.R., 2003. Three-dimensional thermo-fluid electrochemical modeling of planar SOFC stacks. J. Power Sources, 113(1):109-114. [doi:10.1016/S0378-7753(02)00487-1]
15. Sjoberg, J., Zhang, Q.H., Ljung, L., 1995. Nonlinear black-box modeling in system identification: A unified overview. Automatica, 31(12):1691-1724. [doi:10.1016/0005-1098(95)00120-8]
16. Warwick, K., 1996. An Introduction to Radial Basis Functions for System Identification: A Comparison with Other Neural Networks Methods. Proceedings of the 35th Conference on Decision and Control. Kobe, Japan, p.464-469. [doi:10.1109/CDC.1996.574355]