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Modeling and Control of MCFC System Based on Artificial Neural Networks

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2 Author(s)
Tian Yudong ; Shanghai Dian Ji Univ., Shanghai ; Hairong Zou

The molten carbonate fuel cell (MCFC) is a complex system, and MCFC modeling and control are very difficult in the present MCFC research and development because MCFC has the complicated characteristics such as nonlinearness, uncertainty and time-change. To aim at the problem, the MCFC mechanism is analyzed, and then MCFC modeling based on artificial neural networks is advanced. At last, as a result of applying the model, a MCFC artificial neural network control strategy is presented in detail so that it gets rid of the limits of the controlled object, which has the imprecision, uncertainty and time-change, to achieve its tractability and robustness. The computer simulation and the experiment indicate that it is reasonable and effective.

Published in:

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on  (Volume:6 )

Date of Conference:

8-11 Oct. 2006