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Robust Adaptive Control of Interleaved Boost Converter for Fuel Cell Application

Shengrong Zhuo, Liangcai Xu, Yigeng Huangfu, Arnaud Gaillard, Damien Paire, Fei Gao

2021IEEE Transactions on Industry Applications28 citationsDOI

Abstract

In this article, a robust adaptive controller based on active disturbance rejection control algorithm is proposed for interleaved dc–dc Boost converter for fuel cell application. The unknown load power and parametric variations are regarded as part of the total disturbance, which is estimated by extended-state-observer (ESO), and then canceled in the control law. Within the proposed controller, the parameter <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${b_0}$</tex-math></inline-formula> is adapted in real-time to reduce the estimation burden of ESO. It is shown that compared with the conventional controller, the proposed controller can achieve significant improvement in terms of robustness, the strong antidisturbance performance can be maintained with the varied number of active phases. Finally, simulation and experimental results validate the effectiveness and superiority of the proposed controller.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Parametric statisticsAdaptive controlBoost converterController (irrigation)Robust controlComputer scienceControl engineeringEngineeringControl (management)MathematicsControl systemVoltageArtificial intelligenceAgronomyBiologyBiochemistryStatisticsChemistryGeneElectrical engineeringFuel Cells and Related MaterialsAdvanced DC-DC ConvertersAdvanced battery technologies research
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