Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm

Jiangbo Zhao; Feng Wei

doi:10.1109/MEC.2013.6885058

Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm

Jiangbo Zhao, Feng Wei

自动化学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

It is difficult to tune controller parameters for large inertia and time-varying load system. To solve this problem, a new controller parameters optimization strategy based on extremum seeking algorithm is proposed. This novel method is model-free. It utilizes data of experiments to get the gradient information of performance to control parameters, so as to tune the controller parameters. This paper analyzes the convergence of extremum seeking algorithm and proposes the high-pass filter parameters selection principles. Simulation and experimental results show that the system control performance is significantly improved using extremum seeking algorithm compared to traditional methods.

源语言	英语
主期刊名	Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
出版商	Institute of Electrical and Electronics Engineers Inc.
页	107-111
页数	5
ISBN（电子版）	9781479925650
DOI	https://doi.org/10.1109/MEC.2013.6885058
出版状态	已出版 - 2013
活动	2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 - Shenyang, 中国期限: 20 12月 2013 → 22 12月 2013

出版系列

姓名	Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

会议

会议	2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
国家/地区	中国
市	Shenyang
时期	20/12/13 → 22/12/13

访问文件

10.1109/MEC.2013.6885058

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhao, J., & Wei, F. (2013). Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm. 在 Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 (页码 107-111). 文章 6885058 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEC.2013.6885058

Zhao, Jiangbo ; Wei, Feng. / Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm. Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. 页码 107-111 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013).

@inproceedings{edacdef6cfa0465086db8e5a1e041f81,

title = "Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm",

abstract = "It is difficult to tune controller parameters for large inertia and time-varying load system. To solve this problem, a new controller parameters optimization strategy based on extremum seeking algorithm is proposed. This novel method is model-free. It utilizes data of experiments to get the gradient information of performance to control parameters, so as to tune the controller parameters. This paper analyzes the convergence of extremum seeking algorithm and proposes the high-pass filter parameters selection principles. Simulation and experimental results show that the system control performance is significantly improved using extremum seeking algorithm compared to traditional methods.",

keywords = "Extremum seeking, Gradient information, Large inertia system, Parameters tuning",

author = "Jiangbo Zhao and Feng Wei",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 ; Conference date: 20-12-2013 Through 22-12-2013",

year = "2013",

doi = "10.1109/MEC.2013.6885058",

language = "English",

series = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "107--111",

booktitle = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",

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}

Zhao, J & Wei, F 2013, Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm. 在 Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013., 6885058, Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, Institute of Electrical and Electronics Engineers Inc., 页码 107-111, 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, Shenyang, 中国, 20/12/13. https://doi.org/10.1109/MEC.2013.6885058

Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm. / Zhao, Jiangbo; Wei, Feng.
Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. 页码 107-111 6885058 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm

AU - Zhao, Jiangbo

AU - Wei, Feng

PY - 2013

Y1 - 2013

N2 - It is difficult to tune controller parameters for large inertia and time-varying load system. To solve this problem, a new controller parameters optimization strategy based on extremum seeking algorithm is proposed. This novel method is model-free. It utilizes data of experiments to get the gradient information of performance to control parameters, so as to tune the controller parameters. This paper analyzes the convergence of extremum seeking algorithm and proposes the high-pass filter parameters selection principles. Simulation and experimental results show that the system control performance is significantly improved using extremum seeking algorithm compared to traditional methods.

AB - It is difficult to tune controller parameters for large inertia and time-varying load system. To solve this problem, a new controller parameters optimization strategy based on extremum seeking algorithm is proposed. This novel method is model-free. It utilizes data of experiments to get the gradient information of performance to control parameters, so as to tune the controller parameters. This paper analyzes the convergence of extremum seeking algorithm and proposes the high-pass filter parameters selection principles. Simulation and experimental results show that the system control performance is significantly improved using extremum seeking algorithm compared to traditional methods.

KW - Extremum seeking

KW - Gradient information

KW - Large inertia system

KW - Parameters tuning

UR - http://www.scopus.com/inward/record.url?scp=84918517126&partnerID=8YFLogxK

U2 - 10.1109/MEC.2013.6885058

DO - 10.1109/MEC.2013.6885058

M3 - Conference contribution

AN - SCOPUS:84918517126

T3 - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

SP - 107

EP - 111

BT - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

Y2 - 20 December 2013 through 22 December 2013

ER -

Zhao J, Wei F. Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm. 在 Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. 页码 107-111. 6885058. (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013). doi: 10.1109/MEC.2013.6885058

Controller parameters optimization of large inertia and time-varying load system based on extremum seeking algorithm

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会议

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