An effective optimal linear quadratic analog tracker for the system with unknown disturbances

Guo Zhen He, Yau Tarng Juang, Jason Sheng Hongsh Tsai, Yun You Lin, Shu Mei Guo, Leang San Shieh, Tzong Jiy Tsai

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

2 Citations (Scopus)

Abstract

The designs of optimal linear quadratic estimator and tracker for the linear continuous-time systems with unknown disturbances have been improved in this paper. Compared with the advanced robust control design methodologies developed in the literature, the proposed method significantly improves both the unknown input estimation and the servo performance for the systems subject to the unknown disturbances. The aforementioned design objective can be achieved due to the fact that the proposed approach ensures the relative stability in both the unknown input estimation and the servo performance from the theoretical point of view. Besides, based on the equivalent input disturbance principle developed in the literature, the proposed approach is applicable to the system with a class of mismatched input disturbances. Furthermore, the newly proposed unknown input estimation technique is able to extend the recently developed generalized optimal linear quadratic tracker for continuous-time systems with known disturbances to those with unknown disturbances.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781509014125
DOIs
Publication statusPublished - 2017 Aug 3
Event26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom
Duration: 2017 Jun 182017 Jun 21

Publication series

NameIEEE International Symposium on Industrial Electronics

Other

Other26th IEEE International Symposium on Industrial Electronics, ISIE 2017
CountryUnited Kingdom
CityEdinburgh, Scotland
Period17-06-1817-06-21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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  • Cite this

    He, G. Z., Juang, Y. T., Tsai, J. S. H., Lin, Y. Y., Guo, S. M., Shieh, L. S., & Tsai, T. J. (2017). An effective optimal linear quadratic analog tracker for the system with unknown disturbances. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017 (pp. 412-417). [8001282] (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2017.8001282