Adaptive Fuzzy PID Based on Granular Function for Proton Exchange Membrane Fuel Cell Oxygen Excess Ratio Control

Xiao Tang, Chunsheng Wang, Yukun Hu, Zijian Liu and Feiliang Li
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Xiao Tang: School of Automation, Central South University, Changsha 410083, China
Chunsheng Wang: School of Automation, Central South University, Changsha 410083, China
Yukun Hu: Department of Civil, Environment & Geomatic Engineering, University College London, London WC1E 6BT, UK
Zijian Liu: School of Automation, Central South University, Changsha 410083, China
Feiliang Li: School of Automation, Central South University, Changsha 410083, China

Energies, 2021, vol. 14, issue 4, 1-18

Abstract: An effective oxygen excess ratio control strategy for a proton exchange membrane fuel cell (PEMFC) can avoid oxygen starvation and optimize system performance. In this paper, a fuzzy PID control strategy based on granular function (GFPID) was proposed. Meanwhile, a proton exchange membrane fuel cell dynamic model was established on the MATLAB/Simulink platform, including the stack model system and the auxiliary system. In order to avoid oxygen starvation due to the transient variation of load current and optimize the parasitic power of the auxiliary system and the stack voltage, the purpose of optimizing the overall operating condition of the system was finally achieved. Adaptive fuzzy PID (AFPID) control has the technical bottleneck limitation of fuzzy rules explosion. GFPID eliminates fuzzification and defuzzification to solve this phenomenon. The number of fuzzy rules does not affect the precision of GFPID control, which is only related to the fuzzy granular points in the fitted granular response function. The granular function replaces the conventional fuzzy controller to realize the online adjustment of PID parameters. Compared with the conventional PID and AFPID control, the feasibility and superiority of the algorithm based on particle function are verified.

Keywords: proton exchange membrane fuel cell (PEMFC); oxygen excess ratio; oxygen starvation; adaptive fuzzy PID (AFPID); granular function fuzzy PID (GFPID) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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