Nonlinear Stability Analysis of Distributed Self-Interleaving for Driving Signals in Multicellular Converters - LAAS-Décision et Optimisation
Conference Papers Year : 2023

Nonlinear Stability Analysis of Distributed Self-Interleaving for Driving Signals in Multicellular Converters

Abstract

We analyze a self-interleaving circuitry for driving signals in multicellular converters, based on an interconnection graph with a ring topology that induces desirable fault-tolerant features. Using nonlinear hybrid dynamical tools, we show that the dynamics of this electronic solution can be formulated as an emulation based sampled-data feedback emulating a continuous-time fi rst-order Kuramoto model. For this Kuramoto model, under general conditions on the coupling functions, we provide a Lyapunov-based proof of local asymptotic stability of the splay-state (interleaved) confi guration. We then illustrate the relation with the emulation-based sampled-data scenario via simulation results.
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hal-04719389 , version 1 (03-10-2024)

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Alessandro Bosso, Miguel Mannes Hillesheim, Marc Cousineau, Luca Zaccarian. Nonlinear Stability Analysis of Distributed Self-Interleaving for Driving Signals in Multicellular Converters. 2023 62nd IEEE Conference on Decision and Control (CDC), Dec 2023, Singapore, Singapore. pp.3574-3579, ⟨10.1109/CDC49753.2023.10383935⟩. ⟨hal-04719389⟩
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