Finite-time adaptive dynamic surface control of dual motor driving systems

Dongwu Li; Guofa Sun; Xuemei Ren; Xiaohua Lv

doi:10.1007/978-3-642-38460-8_19

Finite-time adaptive dynamic surface control of dual motor driving systems

Dongwu Li^*, Guofa Sun, Xuemei Ren, Xiaohua Lv

^*Corresponding author for this work

School of Automation

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

2 Citations (Scopus)

Abstract

This paper is focused on finite-time adaptive control of dual motor driving servo system. By introducing a set of alternative state variables and the corresponding transform, a state space description of dual motor driving servo system is yields. Based on the obtained state space model of dual motor driving servo system, a dynamic surface control (DSC) scheme is proposed, which is able to eliminate the explosion of complexity problem inherent in traditional backstepping design and guarantee the finite convergence performance of the tracking errors. Simulation results are given to illustrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems
Publisher	Springer Verlag
Pages	165-174
Number of pages	10
ISBN (Print)	9783642384592
DOIs	https://doi.org/10.1007/978-3-642-38460-8_19
Publication status	Published - 2013
Event	2013 Chinese Intelligent Automation Conference, CIAC 2013 - Yangzhou, Jiangsu, China Duration: 23 Aug 2013 → 25 Aug 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	255 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2013 Chinese Intelligent Automation Conference, CIAC 2013
Country/Territory	China
City	Yangzhou, Jiangsu
Period	23/08/13 → 25/08/13

Keywords

Dual motor driving servo system
Dynamic surface control
Finite-time convergence
Neural network (NN)

Access to Document

10.1007/978-3-642-38460-8_19

Cite this

Li, D., Sun, G., Ren, X., & Lv, X. (2013). Finite-time adaptive dynamic surface control of dual motor driving systems. In Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems (pp. 165-174). (Lecture Notes in Electrical Engineering; Vol. 255 LNEE). Springer Verlag. https://doi.org/10.1007/978-3-642-38460-8_19

@inproceedings{350f346484be43908ec7de3eab7e402f,

title = "Finite-time adaptive dynamic surface control of dual motor driving systems",

abstract = "This paper is focused on finite-time adaptive control of dual motor driving servo system. By introducing a set of alternative state variables and the corresponding transform, a state space description of dual motor driving servo system is yields. Based on the obtained state space model of dual motor driving servo system, a dynamic surface control (DSC) scheme is proposed, which is able to eliminate the explosion of complexity problem inherent in traditional backstepping design and guarantee the finite convergence performance of the tracking errors. Simulation results are given to illustrate the effectiveness of the proposed approach.",

keywords = "Dual motor driving servo system, Dynamic surface control, Finite-time convergence, Neural network (NN)",

author = "Dongwu Li and Guofa Sun and Xuemei Ren and Xiaohua Lv",

year = "2013",

doi = "10.1007/978-3-642-38460-8_19",

language = "English",

isbn = "9783642384592",

series = "Lecture Notes in Electrical Engineering",

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pages = "165--174",

booktitle = "Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems",

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note = "2013 Chinese Intelligent Automation Conference, CIAC 2013 ; Conference date: 23-08-2013 Through 25-08-2013",

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Li, D, Sun, G, Ren, X & Lv, X 2013, Finite-time adaptive dynamic surface control of dual motor driving systems. in Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems. Lecture Notes in Electrical Engineering, vol. 255 LNEE, Springer Verlag, pp. 165-174, 2013 Chinese Intelligent Automation Conference, CIAC 2013, Yangzhou, Jiangsu, China, 23/08/13. https://doi.org/10.1007/978-3-642-38460-8_19

Finite-time adaptive dynamic surface control of dual motor driving systems. / Li, Dongwu; Sun, Guofa; Ren, Xuemei et al.
Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems. Springer Verlag, 2013. p. 165-174 (Lecture Notes in Electrical Engineering; Vol. 255 LNEE).

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

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AU - Sun, Guofa

AU - Ren, Xuemei

AU - Lv, Xiaohua

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N2 - This paper is focused on finite-time adaptive control of dual motor driving servo system. By introducing a set of alternative state variables and the corresponding transform, a state space description of dual motor driving servo system is yields. Based on the obtained state space model of dual motor driving servo system, a dynamic surface control (DSC) scheme is proposed, which is able to eliminate the explosion of complexity problem inherent in traditional backstepping design and guarantee the finite convergence performance of the tracking errors. Simulation results are given to illustrate the effectiveness of the proposed approach.

AB - This paper is focused on finite-time adaptive control of dual motor driving servo system. By introducing a set of alternative state variables and the corresponding transform, a state space description of dual motor driving servo system is yields. Based on the obtained state space model of dual motor driving servo system, a dynamic surface control (DSC) scheme is proposed, which is able to eliminate the explosion of complexity problem inherent in traditional backstepping design and guarantee the finite convergence performance of the tracking errors. Simulation results are given to illustrate the effectiveness of the proposed approach.

KW - Dual motor driving servo system

KW - Dynamic surface control

KW - Finite-time convergence

KW - Neural network (NN)

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DO - 10.1007/978-3-642-38460-8_19

M3 - Conference contribution

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SN - 9783642384592

T3 - Lecture Notes in Electrical Engineering

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BT - Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems

PB - Springer Verlag

T2 - 2013 Chinese Intelligent Automation Conference, CIAC 2013

Y2 - 23 August 2013 through 25 August 2013

ER -

Finite-time adaptive dynamic surface control of dual motor driving systems

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Keywords

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