Disturbance elimination of buck-converter with resonant LPF via ILQ servo-system

Shu Hei Shiina, Sidshchadhaa Aumted, Hiroshi Takami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The proposed optimal control on the basis of both current and voltage of the buck-converter is designed to be based on Inverse Linear Quadratic (ILQ) design method with the resonant low pass filter, which eliminates the disturbance by appended disturbance compensator. The designed scheme is composed of the state equation, an optimal ILQ solution, the ILQ servo-system with the disturbance elimination, the optimal basic gain, the optimal condition, the transfer functions and the disturbance compensator. Our results show the proposed strategy is the stability and robust control and has been made to improve ILQ control for the disturbance elimination of the output response, which guarantees the optimal gains on the basis of polynomial pole assignment.

Original languageEnglish
Title of host publicationPower and Energy Systems III
Pages493-498
Number of pages6
DOIs
Publication statusPublished - 2014 Jan 28
Event2013 3rd International Conference on Power and Energy Systems, ICPES 2013 - Bangkok, Thailand
Duration: 2013 Nov 232013 Nov 24

Publication series

NameApplied Mechanics and Materials
Volume492
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 3rd International Conference on Power and Energy Systems, ICPES 2013
CountryThailand
CityBangkok
Period13/11/2313/11/24

Keywords

  • Disturbance compensator
  • Inverse LQ design method
  • Low pass filter and buck-converter
  • Optimal voltage control
  • Resonant
  • Second order polynomial

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Shiina, S. H., Aumted, S., & Takami, H. (2014). Disturbance elimination of buck-converter with resonant LPF via ILQ servo-system. In Power and Energy Systems III (pp. 493-498). (Applied Mechanics and Materials; Vol. 492). https://doi.org/10.4028/www.scientific.net/AMM.492.493