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Cited by 447

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Solid-state power conversion: A Fourier analysis approach to generalized transformer synthesis

Alesina, A., Venturini, M.·1981·IEEE Transactions on Circuits and Systems

Abstract

This paper deals, both from the Fourier analysis and the circuit design point of view, with a large family of electronic power converters which synthesize the assigned slow-varying waveforms via highfrequency switching, thereby needing very little reactive elements. A general condition for high-frequency synthesis applicability is given, together with a method which allows direct converter design from the desired input-output characterizations. Furthermore, a general model is introduced for high-frequency synthesis converters; as a consequence, they are characterized as two-port, multipole, time varying, linear circuit elements. Finally, as a major application example, a new AC-AC, three-to-three phase converter is introduced. The new converter displays several attractive features: sinusoidal waveforms, bidirectionality, separate control over amplitude, frequency, phase, and power factor. Moreover, depending on which side is taken as an input, it can either step up or step down the voltage. For these reasons the new converter can be regarded to as a generalized transformer.

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Crossref · 10.1109/tcs.1981.1084993

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Metadata

Authors
Alesina, A., & Venturini, M.
Venue
IEEE Transactions on Circuits and Systems
Published
1981-04
Volume
28
Issue
4
Pages
319-330
ISSN
0098-4094 (ISSN-L)
OpenAlex
W2156138134
Cited by
447
References
3
FWCI
1.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Solid-state power conversion: A Fourier analysis approach to generalized transformer synthesis. https://app.cochat.ai/papers/10.1109/tcs.1981.1084993
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Alesina, A., & Venturini, M. (1981). Solid-state power conversion: A Fourier analysis approach to generalized transformer synthesis. IEEE Transactions on Circuits and Systems. https://doi.org/10.1109/tcs.1981.1084993

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.