On-line identification based optimal control method

Rongjie Kang; Zongxia Jiao; Lisha Chen; Shaoping Wang

doi:10.1109/FPM.2011.6045728

On-line identification based optimal control method

Rongjie Kang^*
, Zongxia Jiao
, Lisha Chen
, Shaoping Wang

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

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

2 Scopus citations

Abstract

This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.

Original language	English
Title of host publication	Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011
Pages	50-55
Number of pages	6
DOIs	https://doi.org/10.1109/FPM.2011.6045728
State	Published - 2011
Event	2011 International Conference on Fluid Power and Mechatronics, FPM 2011 - Beijing, China Duration: 17 Aug 2011 → 20 Aug 2011

Publication series

Name	Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011

Conference

Conference	2011 International Conference on Fluid Power and Mechatronics, FPM 2011
Country/Territory	China
City	Beijing
Period	17/08/11 → 20/08/11

Keywords

Elman network
Nonlinear control
Particle swarm optimization
System identification
Tracking-differentiator

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10.1109/FPM.2011.6045728

Cite this

@inproceedings{3a69b9285be5455f88492436a5e09c54,

title = "On-line identification based optimal control method",

abstract = "This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.",

keywords = "Elman network, Nonlinear control, Particle swarm optimization, System identification, Tracking-differentiator",

author = "Rongjie Kang and Zongxia Jiao and Lisha Chen and Shaoping Wang",

year = "2011",

doi = "10.1109/FPM.2011.6045728",

language = "英语",

isbn = "9781424484522",

series = "Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011",

pages = "50--55",

booktitle = "Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011",

note = "2011 International Conference on Fluid Power and Mechatronics, FPM 2011 ; Conference date: 17-08-2011 Through 20-08-2011",

}

Kang, R, Jiao, Z, Chen, L & Wang, S 2011, On-line identification based optimal control method. in Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011., 6045728, Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011, pp. 50-55, 2011 International Conference on Fluid Power and Mechatronics, FPM 2011, Beijing, China, 17/08/11. https://doi.org/10.1109/FPM.2011.6045728

On-line identification based optimal control method. / Kang, Rongjie; Jiao, Zongxia; Chen, Lisha et al.
Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011. 2011. p. 50-55 6045728 (Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011).

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

TY - GEN

T1 - On-line identification based optimal control method

AU - Kang, Rongjie

AU - Jiao, Zongxia

AU - Chen, Lisha

AU - Wang, Shaoping

PY - 2011

Y1 - 2011

N2 - This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.

AB - This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.

KW - Elman network

KW - Nonlinear control

KW - Particle swarm optimization

KW - System identification

KW - Tracking-differentiator

UR - https://www.scopus.com/pages/publications/80555125958

U2 - 10.1109/FPM.2011.6045728

DO - 10.1109/FPM.2011.6045728

M3 - 会议稿件

AN - SCOPUS:80555125958

SN - 9781424484522

T3 - Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011

SP - 50

EP - 55

BT - Proceedings of 2011 International Conference on Fluid Power and Mechatronics, FPM 2011

T2 - 2011 International Conference on Fluid Power and Mechatronics, FPM 2011

Y2 - 17 August 2011 through 20 August 2011

ER -

On-line identification based optimal control method

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Keywords

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