期刊
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 48, 期 45, 页码 17277-17292出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2023.01.200
关键词
Adaptive sliding mode; STA; PEMFC; SMC; Stochastic gradient descent
This study compares novel robust adaptive sliding mode control (ASMCSGD) with the super twisting algorithm (STA) for the proton exchange membrane fuel cell (PEMFC) power system. The ASMCSGD is based on conventional sliding mode control (SMC) and uses stochastic gradient descent (SGD) to minimize the chattering phenomenon and ensure robustness. The stability of the PEMFC power system for both ASMCSGD and STA controllers is demonstrated.
This study represents a comparison of novel robust adaptive sliding mode control using stochastic gradient descent (ASMCSGD) versus the super twisting algorithm (STA) for the proton exchange membrane fuel cell (PEMFC) power system. PEMFC has been constantly encountered with external disturbances such as inlet gas pressures and temperature fluctuations which a novel adaptive control law should be designed to be robust against the mentioned perturbations. The proposed ASMCSGD is based on the conventional sliding mode control (SMC), which guarantees robustness and restraining external disturbances. As is common, the main drawback of conventional SMC is the generation of a chattering phenomenon. Therefore, by using the stochastic gradient descent (SGD), a novel adaptive control law is designed. Hence, the SGD can continuously calculate the adaptive gain and then guarantee robustness besides minimizing the chattering phenomenon. The stability of the PEMFC power system for both controllers ASMCSGD and STA is demonstrated via the
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