Simplified Small-Signal Discrete-Time Modeling Approach for Digital-Controlled PWM Converters

Xuanlyu Wu, Zhen Kang, Xin Zhao, Weilin Li, Xiaohua Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Based on well-known approaches to discrete-time modeling and the standard Z-transform, exact small-signal discrete-time model takes into account sampling, modulator effects and delays in the control loop. This model can be used for direct design of digital compensators for digitally controlled PWM DC-DC converters. However, the modeling process is complex and time-consuming for converters with non-unique state matrix. This paper proposed a simplified small-signal discrete-time model for digital-controlled PWM converters. The proposed modeling approach significantly reduced modeling complexity while maintain high accuracy, therefore, is more suitable for direct design of digital compensators. This paper presents general results valid for any converter with leading or trailing edge PWM under continuous conduction mode (CCM). Specific examples, including approximate closed-form expressions for control-to-output transfer functions, are given for Boost converter. The proposed model is verified by comparison with exact model and system identification results.

Original languageEnglish
Title of host publication2019 IEEE 15th International Conference on Control and Automation, ICCA 2019
PublisherIEEE Computer Society
Pages174-177
Number of pages4
ISBN (Electronic)9781728111643
DOIs
StatePublished - Jul 2019
Event15th IEEE International Conference on Control and Automation, ICCA 2019 - Edinburgh, United Kingdom
Duration: 16 Jul 201919 Jul 2019

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2019-July
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference15th IEEE International Conference on Control and Automation, ICCA 2019
Country/TerritoryUnited Kingdom
CityEdinburgh
Period16/07/1919/07/19

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