A simplified structure for robustness enhancement of time-delay systems

Kenji Natori, Kouhei Ohnishi

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

3 Citations (Scopus)

Abstract

In this paper, we propose a simplified control structure for robustness enhancement of time-delay systems. We have developed a time-delay compensation method based on network disturbance (ND) concept and communication disturbance observer (CDOB). The method effectively compensates time-delay effect and stabilizes time-delay systems. It has been validated that the effectiveness of the time-delay compensation is equivalent to Smith predictor. However, a defect in robustness on model errors has been revealed. Steady-state errors depending on model errors arise in responses. In order to handle the problem, various approaches have been proposed so far. However, sufficient robustness enhancement without degradation of stability and control performance has not been achieved yet. Therefore, this paper proposes a simplified control structure of time-delay systems without CDOB. The proposed structure accomplishes robustness enhancement on model errors without significant degradation of performance. The stability and the transient characteristics are analyzed and the validity is clarified. Then, the effectiveness of the proposed structure is validated by simulation results.

Original languageEnglish
Title of host publicationAMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings
Pages512-517
Number of pages6
DOIs
Publication statusPublished - 2010 Jun 25
Event2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 - Nagaoka, Niigata, Japan
Duration: 2010 Mar 212010 Mar 24

Publication series

NameInternational Workshop on Advanced Motion Control, AMC

Other

Other2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010
Country/TerritoryJapan
CityNagaoka, Niigata
Period10/3/2110/3/24

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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