State-space analysis of discrete-time disturbance observer for sampled-data control systems

Hyeonjun Yun; Gyunghoon Park; Hyungbo Shim; H. J. Chang

doi:10.1109/ACC.2016.7525587

State-space analysis of discrete-time disturbance observer for sampled-data control systems

Hyeonjun Yun, Gyunghoon Park, Hyungbo Shim, H. J. Chang

School of Electrical and Computer Engineering

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

5 Scopus citations

Abstract

We present a state-space analysis of discrete-time disturbance observer (DOB) for a class of sampled-data control systems. Unlike the continuous-time case, it is well-known that sampling process may yield non-minimum phase zeros (called sampling zeros). Motivated by the truncated Taylor series (TTS) model which well describes the behavior of sampling zeros in the state-space, we present a condition for robust stability of the uncertain sampled-data control system with the discrete-time DOB. In particular, using the discrete-time singular perturbation theory, we show that the uncertain plant with disturbance behaves like a disturbance-free nominal model with the help of the discrete-time DOB.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4233-4238
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525587
State	Published - 28 Jul 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	6/07/16 → 8/07/16

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10.1109/ACC.2016.7525587

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Yun, H., Park, G., Shim, H., & Chang, H. J. (2016). State-space analysis of discrete-time disturbance observer for sampled-data control systems. In 2016 American Control Conference, ACC 2016 (pp. 4233-4238). Article 7525587 (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7525587

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abstract = "We present a state-space analysis of discrete-time disturbance observer (DOB) for a class of sampled-data control systems. Unlike the continuous-time case, it is well-known that sampling process may yield non-minimum phase zeros (called sampling zeros). Motivated by the truncated Taylor series (TTS) model which well describes the behavior of sampling zeros in the state-space, we present a condition for robust stability of the uncertain sampled-data control system with the discrete-time DOB. In particular, using the discrete-time singular perturbation theory, we show that the uncertain plant with disturbance behaves like a disturbance-free nominal model with the help of the discrete-time DOB.",

author = "Hyeonjun Yun and Gyunghoon Park and Hyungbo Shim and Chang, {H. J.}",

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doi = "10.1109/ACC.2016.7525587",

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Yun, H, Park, G, Shim, H & Chang, HJ 2016, State-space analysis of discrete-time disturbance observer for sampled-data control systems. in 2016 American Control Conference, ACC 2016., 7525587, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 4233-4238, 2016 American Control Conference, ACC 2016, Boston, United States, 6/07/16. https://doi.org/10.1109/ACC.2016.7525587

State-space analysis of discrete-time disturbance observer for sampled-data control systems. / Yun, Hyeonjun; Park, Gyunghoon; Shim, Hyungbo et al.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4233-4238 7525587 (Proceedings of the American Control Conference; Vol. 2016-July).

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

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AB - We present a state-space analysis of discrete-time disturbance observer (DOB) for a class of sampled-data control systems. Unlike the continuous-time case, it is well-known that sampling process may yield non-minimum phase zeros (called sampling zeros). Motivated by the truncated Taylor series (TTS) model which well describes the behavior of sampling zeros in the state-space, we present a condition for robust stability of the uncertain sampled-data control system with the discrete-time DOB. In particular, using the discrete-time singular perturbation theory, we show that the uncertain plant with disturbance behaves like a disturbance-free nominal model with the help of the discrete-time DOB.

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State-space analysis of discrete-time disturbance observer for sampled-data control systems

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