An improved self-adaptive tracking differentiator

Guohui Qiao; Minglei Sun; Rong Zhang; Guanghua Zong; Shouzhong Li

doi:10.1109/ICINFA.2009.5205060

An improved self-adaptive tracking differentiator

Guohui Qiao^*
, Minglei Sun
, Rong Zhang
, Guanghua Zong
, Shouzhong Li

^*Corresponding author for this work

School of Mechanical Engineering and Automation

Beihang University

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

8 Scopus citations

Abstract

The performance of traditional Tracking Differentiator (TD) will decline when it tracks great changing signals. This paper presents a novel self-adaptive second-order TD which can automatically adjust its tracking rate based on the feedback of differential signals. The result of simulation and experiment showed that this algorithm could effectively restrain oscillations when input signals changed in a low rate, and guarantee a small phase shift when the input signals varied rapidly.

Original language	English
Title of host publication	2009 IEEE International Conference on Information and Automation, ICIA 2009
Pages	980-984
Number of pages	5
DOIs	https://doi.org/10.1109/ICINFA.2009.5205060
State	Published - 2009
Event	2009 IEEE International Conference on Information and Automation, ICIA 2009 - Zhuhai, Macau, China Duration: 22 Jun 2009 → 25 Jun 2009

Publication series

Name	2009 IEEE International Conference on Information and Automation, ICIA 2009

Conference

Conference	2009 IEEE International Conference on Information and Automation, ICIA 2009
Country/Territory	China
City	Zhuhai, Macau
Period	22/06/09 → 25/06/09

Keywords

Nonlinear tracking differentiator
Self-adaptive control
Switching function
Uncertain model

Access to Document

10.1109/ICINFA.2009.5205060

Cite this

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title = "An improved self-adaptive tracking differentiator",

abstract = "The performance of traditional Tracking Differentiator (TD) will decline when it tracks great changing signals. This paper presents a novel self-adaptive second-order TD which can automatically adjust its tracking rate based on the feedback of differential signals. The result of simulation and experiment showed that this algorithm could effectively restrain oscillations when input signals changed in a low rate, and guarantee a small phase shift when the input signals varied rapidly.",

keywords = "Nonlinear tracking differentiator, Self-adaptive control, Switching function, Uncertain model",

author = "Guohui Qiao and Minglei Sun and Rong Zhang and Guanghua Zong and Shouzhong Li",

year = "2009",

doi = "10.1109/ICINFA.2009.5205060",

language = "英语",

isbn = "9781424436088",

series = "2009 IEEE International Conference on Information and Automation, ICIA 2009",

pages = "980--984",

booktitle = "2009 IEEE International Conference on Information and Automation, ICIA 2009",

note = "2009 IEEE International Conference on Information and Automation, ICIA 2009 ; Conference date: 22-06-2009 Through 25-06-2009",

}

Qiao, G, Sun, M , Zhang, R, Zong, G & Li, S 2009, An improved self-adaptive tracking differentiator. in 2009 IEEE International Conference on Information and Automation, ICIA 2009., 5205060, 2009 IEEE International Conference on Information and Automation, ICIA 2009, pp. 980-984, 2009 IEEE International Conference on Information and Automation, ICIA 2009, Zhuhai, Macau, China, 22/06/09. https://doi.org/10.1109/ICINFA.2009.5205060

An improved self-adaptive tracking differentiator. / Qiao, Guohui; Sun, Minglei ; Zhang, Rong et al.
2009 IEEE International Conference on Information and Automation, ICIA 2009. 2009. p. 980-984 5205060 (2009 IEEE International Conference on Information and Automation, ICIA 2009).

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

TY - GEN

T1 - An improved self-adaptive tracking differentiator

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AU - Sun, Minglei

AU - Zhang, Rong

AU - Zong, Guanghua

AU - Li, Shouzhong

PY - 2009

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N2 - The performance of traditional Tracking Differentiator (TD) will decline when it tracks great changing signals. This paper presents a novel self-adaptive second-order TD which can automatically adjust its tracking rate based on the feedback of differential signals. The result of simulation and experiment showed that this algorithm could effectively restrain oscillations when input signals changed in a low rate, and guarantee a small phase shift when the input signals varied rapidly.

AB - The performance of traditional Tracking Differentiator (TD) will decline when it tracks great changing signals. This paper presents a novel self-adaptive second-order TD which can automatically adjust its tracking rate based on the feedback of differential signals. The result of simulation and experiment showed that this algorithm could effectively restrain oscillations when input signals changed in a low rate, and guarantee a small phase shift when the input signals varied rapidly.

KW - Nonlinear tracking differentiator

KW - Self-adaptive control

KW - Switching function

KW - Uncertain model

UR - https://www.scopus.com/pages/publications/70449622883

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DO - 10.1109/ICINFA.2009.5205060

M3 - 会议稿件

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SN - 9781424436088

T3 - 2009 IEEE International Conference on Information and Automation, ICIA 2009

SP - 980

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BT - 2009 IEEE International Conference on Information and Automation, ICIA 2009

T2 - 2009 IEEE International Conference on Information and Automation, ICIA 2009

Y2 - 22 June 2009 through 25 June 2009

ER -

An improved self-adaptive tracking differentiator

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Keywords

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