Abstract
Voltage control of Proton Exchange Membrane Fuel Cell (PEMFC) is necessary for any practical application. This paper considers a state space model for controller design and a Neural Network (NN) feed forward controller with an optimization technique called Harmony Search algorithm is considered to control the output voltage. This paper compares the results of the proposed controller with the NN feed forward controller. The comparison shows the proposed controller follows the reference voltage more closely than NN feed forward controller. Finally the performance of the controller is studied by evaluating Integral Squared Error (ISE), Integral Absolute Error (IAE) and Integral Time-weighted Absolute Error (ITAE) and the results are compared. The system error of the proposed controller is reduced to a least minimum value compared with the other.
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Vinu, R., Varghese, P. (2016). Robust Optimized Artificial Neural Network Based PEM Fuelcell Voltage Tracking. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_7
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DOI: https://doi.org/10.1007/978-3-319-28031-8_7
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