Novel Hybrid Feedforward Wavelet Clipping–ANFIS for Hydrogen Supply in Open Cathode PEM Fuel Cell

Triyanto Pangaribowo, Wahyu Mulyo Utomo, Deni Shidqi Khaeridini, Afarulrazi Abu Bakar

Abstract


The open-cathode PEM Fuel Cell is a generator that relies on an electrochemical reaction between oxygen and hydrogen to produce electricity. In open-cathode fuel cells, oxygen is drawn from the air using fans, while hydrogen gas needs to be supplied through a pressure tube. Hydrogen gas significantly contributes to maintaining the generator's performance. Raising the load on fuel cell generators escalates hydrogen consumption. This poses an issue when the hydrogen supply doesn't swiftly adapt to load changes, leading to fluctuations in generator output. These fluctuations generate noise characterized by the dissonance between frequency and amplitude, gradually oscillating. Additionally, it mentions that filtering techniques, while used to reduce noise, might inadvertently increase the amplitude. Present studies indicate the effectiveness of ANFIS control for various applications. However, its sensitivity to noise affects its accuracy performance, rendering it suboptimal. Hence, this study introduces a hybrid control system to ensure stable hydrogen gas flow, employing the feedforward wavelet clipping method combined with ANFIS. The clipping technique restricts large amplitudes, while wavelets filter high noise. This system is implemented on an experimentally validated fuel cell model. The performance analysis of the control system demonstrates that the proposed method achieves high accuracy and swiftly recovers in the event of a disturbance.

Keywords


Fuel Cell;Control;Wavelet;Clipping;ANFIS

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DOI (PDF): https://doi.org/10.20508/ijrer.v15i4.15085.g9136

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