Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay

Xiuyu Zhang, Guoqiang Zhu, Xinkai Chen, Xiaoming Li

研究成果: Conference contribution

抄録

A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi-machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstepping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.

元の言語English
ホスト出版物のタイトルICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
出版者Institute of Electrical and Electronics Engineers Inc.
ページ207-212
ページ数6
ISBN(電子版)9781538670668
DOI
出版物ステータスPublished - 2019 1 11
イベント3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018 - Singapore, Singapore
継続期間: 2018 7 182018 7 20

出版物シリーズ

名前ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

Conference

Conference3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
Singapore
Singapore
期間18/7/1818/7/20

Fingerprint

Control surfaces
Time delay
Backstepping
Closed loop systems
Explosions
Neural networks
Static Var compensators
Uncertainty

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization

これを引用

Zhang, X., Zhu, G., Chen, X., & Li, X. (2019). Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay. : ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics (pp. 207-212). [8610799] (ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARM.2018.8610799

Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay. / Zhang, Xiuyu; Zhu, Guoqiang; Chen, Xinkai; Li, Xiaoming.

ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2019. p. 207-212 8610799 (ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics).

研究成果: Conference contribution

Zhang, X, Zhu, G, Chen, X & Li, X 2019, Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay. : ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics., 8610799, ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics, Institute of Electrical and Electronics Engineers Inc., pp. 207-212, 3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018, Singapore, Singapore, 18/7/18. https://doi.org/10.1109/ICARM.2018.8610799
Zhang X, Zhu G, Chen X, Li X. Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay. : ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics. Institute of Electrical and Electronics Engineers Inc. 2019. p. 207-212. 8610799. (ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics). https://doi.org/10.1109/ICARM.2018.8610799
Zhang, Xiuyu ; Zhu, Guoqiang ; Chen, Xinkai ; Li, Xiaoming. / Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay. ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 207-212 (ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics).
@inproceedings{f859e3960c284c14b92fd287899697c6,
title = "Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay",
abstract = "A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi-machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstepping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.",
author = "Xiuyu Zhang and Guoqiang Zhu and Xinkai Chen and Xiaoming Li",
year = "2019",
month = "1",
day = "11",
doi = "10.1109/ICARM.2018.8610799",
language = "English",
series = "ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "207--212",
booktitle = "ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics",

}

TY - GEN

T1 - Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay

AU - Zhang, Xiuyu

AU - Zhu, Guoqiang

AU - Chen, Xinkai

AU - Li, Xiaoming

PY - 2019/1/11

Y1 - 2019/1/11

N2 - A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi-machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstepping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.

AB - A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi-machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstepping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.

UR - http://www.scopus.com/inward/record.url?scp=85061482908&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061482908&partnerID=8YFLogxK

U2 - 10.1109/ICARM.2018.8610799

DO - 10.1109/ICARM.2018.8610799

M3 - Conference contribution

AN - SCOPUS:85061482908

T3 - ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

SP - 207

EP - 212

BT - ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

PB - Institute of Electrical and Electronics Engineers Inc.

ER -