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Adaptive Control of Venturini Modulation Based Matrix Converters Using Interval Type-2 Fuzzy Sets

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Abstract

In this paper, an adaptive interval type-2 fuzzy control scheme is proposed for matrix converters. This strategy combines the power of adaptive control theory with type-2 fuzzy logic systems to achieve accurate tracking and robustness to both structured and unstructured uncertainties. Unlike other control techniques, no a priori offline training, weights initialization, parameters, or dynamics’ knowledge is required. Results for different situations highlight the performance of the proposed controller in transient and steady-state conditions under grid voltage uncertainties. Furthermore, the adaptive type-2 fuzzy controller is compared against its type-1 counterpart.

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Authors and Affiliations

  1. Electrical and Computer Engineering, Tennessee Technological University, 220 W. 10th Street, Cookeville, TN, 38505, USA

    Hicham Chaoui

  2. Electrical and Computer Engineering, Université du Québec à Trois-Rivières, 3351, boul. des Forges, C.P. 500, Trois-Rivières, QC, G9A 5H7, Canada

    Bekhada Hamane & Mamadou Lamine Doumbia

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  1. Hicham Chaoui
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  2. Bekhada Hamane
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  3. Mamadou Lamine Doumbia
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Correspondence to Hicham Chaoui.

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Chaoui, H., Hamane, B. & Doumbia, M.L. Adaptive Control of Venturini Modulation Based Matrix Converters Using Interval Type-2 Fuzzy Sets. J Control Autom Electr Syst 27, 132–143 (2016). https://doi.org/10.1007/s40313-016-0230-x

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  • DOI: https://doi.org/10.1007/s40313-016-0230-x

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