This letter addresses the stochastic analysis of nonlinear switching power converters via an augmented circuit equivalent and a single deterministic SPICE simulation. The proposed approach is based on the expansion of the constitutive relations of the circuit elements in terms of orthonormal polynomials within the well-established framework of polynomial chaos. The feasibility and strength of the method are demonstrated on a dc–dc boost converter described by either detailed nonlinear components or via its averaged linear circuit. Excellent modeling accuracy as well as remarkable speed-ups compared to traditional sampling-based approaches are achieved.
Stochastic Analysis of Switching Power Converters via Deterministic SPICE Equivalents / Manfredi, Paolo; Stievano, IGOR SIMONE; Canavero, Flavio. - In: IEEE TRANSACTIONS ON POWER ELECTRONICS. - ISSN 0885-8993. - STAMPA. - 29:9(2014), pp. 4475-4478. [10.1109/TPEL.2014.2301561]
Stochastic Analysis of Switching Power Converters via Deterministic SPICE Equivalents
MANFREDI, PAOLO;STIEVANO, IGOR SIMONE;CANAVERO, Flavio
2014
Abstract
This letter addresses the stochastic analysis of nonlinear switching power converters via an augmented circuit equivalent and a single deterministic SPICE simulation. The proposed approach is based on the expansion of the constitutive relations of the circuit elements in terms of orthonormal polynomials within the well-established framework of polynomial chaos. The feasibility and strength of the method are demonstrated on a dc–dc boost converter described by either detailed nonlinear components or via its averaged linear circuit. Excellent modeling accuracy as well as remarkable speed-ups compared to traditional sampling-based approaches are achieved.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2536295
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