Hardware efficient digital auto-Tuning average current-mode controller

Timur Vekslender; Eli Abramov; Or Kirshenboim; Mor Mordechai Peretz

doi:10.1109/COMPEL.2017.8013369

Hardware efficient digital auto-Tuning average current-mode controller

Timur Vekslender, Eli Abramov, Or Kirshenboim, Mor Mordechai Peretz

Department of Electrical & Computer Engineering

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces a new hardware efficient auto tuning for digitally controlled average current-mode (ACM) controllers. The auto-Tuning procedure extracts the required coefficients of the ACM controller to achieve tight voltage regulation as well as closed-loop dynamic performance that may be defined by the end-user. System stability is facilitated for wide operation range under parameters uncertainties and other variations. It is found that information of the change in the state-variables suffice for a successful and accurate closed-loop operation without the need of a detailed extraction of the values of the passive components. The algorithm is applicable upon power up of the SMPS and has been integrated into the soft-start routine of the converter, assuring tight and stable regulation of the output voltage under all scenarios. The effectiveness of the new digital auto-Tuning ACM controller is demonstrated on an experimental 500kHz, 12V-To-1.2V digitally controlled synchronous buck converter.

Original language	American English
Title of host publication	2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017
ISBN (Electronic)	9781509053261
DOIs	https://doi.org/10.1109/COMPEL.2017.8013369
State	Published - 18 Aug 2017
Event	18th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2017 - Stanford, United States Duration: 9 Jul 2017 → 12 Jul 2017

Publication series

Name	2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017

Conference

Conference	18th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2017
Country/Territory	United States
City	Stanford
Period	9/07/17 → 12/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Control and Optimization
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Modelling and Simulation

Access to Document

10.1109/COMPEL.2017.8013369

Cite this

Vekslender, T., Abramov, E., Kirshenboim, O., & Peretz, M. M. (2017). Hardware efficient digital auto-Tuning average current-mode controller. In 2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017 Article 8013369 (2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017). https://doi.org/10.1109/COMPEL.2017.8013369

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title = "Hardware efficient digital auto-Tuning average current-mode controller",

abstract = "This paper introduces a new hardware efficient auto tuning for digitally controlled average current-mode (ACM) controllers. The auto-Tuning procedure extracts the required coefficients of the ACM controller to achieve tight voltage regulation as well as closed-loop dynamic performance that may be defined by the end-user. System stability is facilitated for wide operation range under parameters uncertainties and other variations. It is found that information of the change in the state-variables suffice for a successful and accurate closed-loop operation without the need of a detailed extraction of the values of the passive components. The algorithm is applicable upon power up of the SMPS and has been integrated into the soft-start routine of the converter, assuring tight and stable regulation of the output voltage under all scenarios. The effectiveness of the new digital auto-Tuning ACM controller is demonstrated on an experimental 500kHz, 12V-To-1.2V digitally controlled synchronous buck converter.",

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Vekslender, T, Abramov, E, Kirshenboim, O & Peretz, MM 2017, Hardware efficient digital auto-Tuning average current-mode controller. in 2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017., 8013369, 2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017, 18th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2017, Stanford, United States, 9/07/17. https://doi.org/10.1109/COMPEL.2017.8013369

Hardware efficient digital auto-Tuning average current-mode controller. / Vekslender, Timur; Abramov, Eli; Kirshenboim, Or et al.
2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017. 2017. 8013369 (2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper introduces a new hardware efficient auto tuning for digitally controlled average current-mode (ACM) controllers. The auto-Tuning procedure extracts the required coefficients of the ACM controller to achieve tight voltage regulation as well as closed-loop dynamic performance that may be defined by the end-user. System stability is facilitated for wide operation range under parameters uncertainties and other variations. It is found that information of the change in the state-variables suffice for a successful and accurate closed-loop operation without the need of a detailed extraction of the values of the passive components. The algorithm is applicable upon power up of the SMPS and has been integrated into the soft-start routine of the converter, assuring tight and stable regulation of the output voltage under all scenarios. The effectiveness of the new digital auto-Tuning ACM controller is demonstrated on an experimental 500kHz, 12V-To-1.2V digitally controlled synchronous buck converter.

AB - This paper introduces a new hardware efficient auto tuning for digitally controlled average current-mode (ACM) controllers. The auto-Tuning procedure extracts the required coefficients of the ACM controller to achieve tight voltage regulation as well as closed-loop dynamic performance that may be defined by the end-user. System stability is facilitated for wide operation range under parameters uncertainties and other variations. It is found that information of the change in the state-variables suffice for a successful and accurate closed-loop operation without the need of a detailed extraction of the values of the passive components. The algorithm is applicable upon power up of the SMPS and has been integrated into the soft-start routine of the converter, assuring tight and stable regulation of the output voltage under all scenarios. The effectiveness of the new digital auto-Tuning ACM controller is demonstrated on an experimental 500kHz, 12V-To-1.2V digitally controlled synchronous buck converter.

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M3 - Conference contribution

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Hardware efficient digital auto-Tuning average current-mode controller

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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