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Fuel Cell Module Control Based on Switched/Time-Based Adaptive Super-Twisting Algorithm: Design and Experimental Validation

AuthorsAnderson, Jorge L.; Moré, Jerónimo J.; Puleston, Pablo Federico; Costa Castelló, Ramon CSIC ORCID
KeywordsAdaptive algorithm
Fuel cells (FCs)
Hybrid generation systems (HGSs)
Renewable energies
Sliding mode (SM)
Super-twisting algorithm (STA)
Issue Date2023
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Control Systems Technology 31: 434-441 (2023)
AbstractFuel cells (FCs) have emerged as a sound promising technology for their application in emissions-free generation systems. Their high efficiency, reliability, and clean energy make these electrochemical devices especially suitable for manifold applications such as transportation, stationary generation, and portable devices. In view of the inherent complexity of this technology, the FC control plays a fundamental role to guarantee stability and high performance against system uncertainties and disturbances. Regarding this, sliding mode control has proved to be a powerful technique for the design of robust controllers for generation systems involving FCs. However, its discontinuous control action gives rise to some undesired effects when applied to real nonideal systems, being control chattering is usually the main drawback. In this framework, the brief presents the design and experimental implementation of an FC module control via a switched/time-based adaptive super-twisting algorithm (STA). The designed algorithm is evaluated in an experimental platform of a hybrid generation system based on a commercial 1.2-kW FC. The proposed controller exhibits a low value of chattering and similar robustness features compared to traditional STA.
Publisher version (URL)
Identifiersdoi: 10.1109/TCST.2022.3169441
e-issn: 1558-0865
issn: 1063-6536
Appears in Collections:(IRII) Artículos

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