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Hybrid Fuzzy Logic Control Scheme of the PEM Fuel Cell Air Feed System

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

Abstract

The primary control task of a proton exchange membrane (PEM) fuel cell air feed system is to regulate the oxygen excess ratio (OER). A new hybrid fuzzy logic control (FLC) scheme is proposed in this paper to drive OER to the desired value, thus the oxygen starvation is effectively avoided. The hybrid controller consists of the fuzzy logic controller, the fuzzy self-tuning (FST) PID controller and the switching system, where the optimal controller is selected in real-time by the switching system upon the tracking error of OER. The proposed hybrid FLC scheme demonstrates the advantages of quick response and high tracking accuracy. Moreover, it is also applicable to PEM fuel cell systems with fluctuating stack current and air leakage fault.

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Acknowledgements

This research was supported in part by the National Natural Science Foundation of China under Grant 61603179, in part by the China Postdoctoral Science Foundation under Grant 2016M601805 and 2019T120427, and in part by the 111 project (B20007).

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Jing Zhu, Kang Wu & Bin Jiang

  2. Ministry of Industry and Information Technology, Jiangsu Key Laboratory of Internet of Things and Control Technologies, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Jing Zhu & Bin Jiang

Authors
  1. Jing Zhu
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  2. Kang Wu
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  3. Bin Jiang
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Corresponding author

Correspondence to Jing Zhu .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Liang Yan

  2. Beihang University, Beijing, China

    Haibin Duan

  3. Beihang University, Beijing, China

    Xiang Yu

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Zhu, J., Wu, K., Jiang, B. (2022). Hybrid Fuzzy Logic Control Scheme of the PEM Fuel Cell Air Feed System. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_264

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