Hybrid control based on improved radial basis function network for electro-hydraulic servo system

Peng Yang; Jun Xu; Jie He; Lihua Liang; Guobin Li

doi:10.1109/ICICIC.2006.94

Hybrid control based on improved radial basis function network for electro-hydraulic servo system

Peng Yang^*
, Jun Xu
, Jie He
, Lihua Liang
, Guobin Li

^*Corresponding author for this work

Harbin Engineering University

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

1 Scopus citations

Abstract

Because of the perturbations and disturbances of electro-hydraulic servo systems, the normal controller can't obtain good output responses under various conditions. A hybrid control strategy base on improved Radial Basis Function (RBF) network was presented for the tracking problem. An offline optimization algorithm was employed to choose the number of hidden units of RBF network. Based on the theory of optimization in groups, different online learning algorithms were used to adjust centers and estimate connection weights. The hybrid controller combined this improved RBF network with traditional PID control, and it was applied to electro-hydraulic servo system of ship test bed. Simulation results show that the servo system has good dynamic performance and nice robustness with this hybrid controller.

Original language	English
Title of host publication	First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
Pages	117-120
Number of pages	4
DOIs	https://doi.org/10.1109/ICICIC.2006.94
State	Published - 2006
Externally published	Yes
Event	1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 - Beijing, United States Duration: 30 Aug 2006 → 1 Sep 2006

Publication series

Name	First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06

Conference

Conference	1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
Country/Territory	United States
City	Beijing
Period	30/08/06 → 1/09/06

Access to Document

10.1109/ICICIC.2006.94

Cite this

Yang, P., Xu, J., He, J., Liang, L., & Li, G. (2006). Hybrid control based on improved radial basis function network for electro-hydraulic servo system. In First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 (pp. 117-120). Article 1691755 (First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06). https://doi.org/10.1109/ICICIC.2006.94

@inproceedings{4b0d253555934d4e886fa014f1392b2c,

title = "Hybrid control based on improved radial basis function network for electro-hydraulic servo system",

abstract = "Because of the perturbations and disturbances of electro-hydraulic servo systems, the normal controller can't obtain good output responses under various conditions. A hybrid control strategy base on improved Radial Basis Function (RBF) network was presented for the tracking problem. An offline optimization algorithm was employed to choose the number of hidden units of RBF network. Based on the theory of optimization in groups, different online learning algorithms were used to adjust centers and estimate connection weights. The hybrid controller combined this improved RBF network with traditional PID control, and it was applied to electro-hydraulic servo system of ship test bed. Simulation results show that the servo system has good dynamic performance and nice robustness with this hybrid controller.",

author = "Peng Yang and Jun Xu and Jie He and Lihua Liang and Guobin Li",

year = "2006",

doi = "10.1109/ICICIC.2006.94",

language = "英语",

isbn = "0769526160",

series = "First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06",

pages = "117--120",

booktitle = "First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06",

note = "1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 ; Conference date: 30-08-2006 Through 01-09-2006",

}

Yang, P, Xu, J, He, J, Liang, L & Li, G 2006, Hybrid control based on improved radial basis function network for electro-hydraulic servo system. in First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06., 1691755, First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06, pp. 117-120, 1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06, Beijing, United States, 30/08/06. https://doi.org/10.1109/ICICIC.2006.94

Hybrid control based on improved radial basis function network for electro-hydraulic servo system. / Yang, Peng; Xu, Jun; He, Jie et al.
First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06. 2006. p. 117-120 1691755 (First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06).

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

TY - GEN

T1 - Hybrid control based on improved radial basis function network for electro-hydraulic servo system

AU - Yang, Peng

AU - Xu, Jun

AU - He, Jie

AU - Liang, Lihua

AU - Li, Guobin

PY - 2006

Y1 - 2006

N2 - Because of the perturbations and disturbances of electro-hydraulic servo systems, the normal controller can't obtain good output responses under various conditions. A hybrid control strategy base on improved Radial Basis Function (RBF) network was presented for the tracking problem. An offline optimization algorithm was employed to choose the number of hidden units of RBF network. Based on the theory of optimization in groups, different online learning algorithms were used to adjust centers and estimate connection weights. The hybrid controller combined this improved RBF network with traditional PID control, and it was applied to electro-hydraulic servo system of ship test bed. Simulation results show that the servo system has good dynamic performance and nice robustness with this hybrid controller.

AB - Because of the perturbations and disturbances of electro-hydraulic servo systems, the normal controller can't obtain good output responses under various conditions. A hybrid control strategy base on improved Radial Basis Function (RBF) network was presented for the tracking problem. An offline optimization algorithm was employed to choose the number of hidden units of RBF network. Based on the theory of optimization in groups, different online learning algorithms were used to adjust centers and estimate connection weights. The hybrid controller combined this improved RBF network with traditional PID control, and it was applied to electro-hydraulic servo system of ship test bed. Simulation results show that the servo system has good dynamic performance and nice robustness with this hybrid controller.

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U2 - 10.1109/ICICIC.2006.94

DO - 10.1109/ICICIC.2006.94

M3 - 会议稿件

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SN - 0769526160

SN - 9780769526164

T3 - First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06

SP - 117

EP - 120

BT - First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06

T2 - 1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06

Y2 - 30 August 2006 through 1 September 2006

ER -

Yang P, Xu J, He J, Liang L, Li G. Hybrid control based on improved radial basis function network for electro-hydraulic servo system. In First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06. 2006. p. 117-120. 1691755. (First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06). doi: 10.1109/ICICIC.2006.94

Hybrid control based on improved radial basis function network for electro-hydraulic servo system

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