Building on well-known system theoretical results, simple numerical tools are introduced for the evaluation of the worst-case voltage droops in Power Distribution Networks (PDN), in various Power Integrity verification scenarios. Given a PDN model and suitable bounds on load current values and slew rates, the proposed approach provides an explicit bound of the worst-case voltage droop, as well as the particular input current waveforms that produce it. Validations are provided based on two realistic PDN models.

Fast Prediction of Worst-Case Voltage Droops in Power Distribution Networks / Carlucci, Antonio; Bradde, Tommaso; Grivet-Talocia, Stefano. - ELETTRONICO. - (2024), pp. 1-4. (Intervento presentato al convegno 2024 IEEE 28th Workshop on Signal and Power Integrity (SPI) tenutosi a Lisbon (Portugal) nel 12-15 May 2024) [10.1109/spi60975.2024.10539221].

Fast Prediction of Worst-Case Voltage Droops in Power Distribution Networks

Carlucci, Antonio;Bradde, Tommaso;Grivet-Talocia, Stefano
2024

Abstract

Building on well-known system theoretical results, simple numerical tools are introduced for the evaluation of the worst-case voltage droops in Power Distribution Networks (PDN), in various Power Integrity verification scenarios. Given a PDN model and suitable bounds on load current values and slew rates, the proposed approach provides an explicit bound of the worst-case voltage droop, as well as the particular input current waveforms that produce it. Validations are provided based on two realistic PDN models.
2024
979-8-3503-8293-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2989144