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Title: Disturbance observer-based dynamic optimal setting control

Abstract

This paper deals with optimal operational control problems using a novel approach where a performance index is optimized by controller design together with set-points reselection. Firstly, the operational indices are obtained by employing some optimization algorithms. The controller is then designed for each closed loop to ensure the controlled variables can track the set points in the ideal situation. Taking advantage of disturbance observers, the set-points are reselected dynamically to minimize the effect caused by unexpected noises or disturbances. In the proposed method, the controller structure or parameters are never changed no matter what kind of disturbances affect the whole system. Finally, simulations on a 3 degrees of freedom robotic arm model are given to demonstrate the effectiveness and convenience of the proposed strategy.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1489194
Report Number(s):
PNNL-SA-132630
Journal ID: ISSN 1751-8644
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IET Control Theory and Applications
Additional Journal Information:
Journal Volume: 12; Journal Issue: 17; Journal ID: ISSN 1751-8644
Country of Publication:
United States
Language:
English
Subject:
Optimal control, Observer design, Setting Control

Citation Formats

Yin, Liping, Wang, Hong, Yan, Xiaomo, and Zhang, Hongyan. Disturbance observer-based dynamic optimal setting control. United States: N. p., 2018. Web. doi:10.1049/iet-cta.2018.5013.
Yin, Liping, Wang, Hong, Yan, Xiaomo, & Zhang, Hongyan. Disturbance observer-based dynamic optimal setting control. United States. doi:10.1049/iet-cta.2018.5013.
Yin, Liping, Wang, Hong, Yan, Xiaomo, and Zhang, Hongyan. Tue . "Disturbance observer-based dynamic optimal setting control". United States. doi:10.1049/iet-cta.2018.5013.
@article{osti_1489194,
title = {Disturbance observer-based dynamic optimal setting control},
author = {Yin, Liping and Wang, Hong and Yan, Xiaomo and Zhang, Hongyan},
abstractNote = {This paper deals with optimal operational control problems using a novel approach where a performance index is optimized by controller design together with set-points reselection. Firstly, the operational indices are obtained by employing some optimization algorithms. The controller is then designed for each closed loop to ensure the controlled variables can track the set points in the ideal situation. Taking advantage of disturbance observers, the set-points are reselected dynamically to minimize the effect caused by unexpected noises or disturbances. In the proposed method, the controller structure or parameters are never changed no matter what kind of disturbances affect the whole system. Finally, simulations on a 3 degrees of freedom robotic arm model are given to demonstrate the effectiveness and convenience of the proposed strategy.},
doi = {10.1049/iet-cta.2018.5013},
journal = {IET Control Theory and Applications},
issn = {1751-8644},
number = 17,
volume = 12,
place = {United States},
year = {2018},
month = {11}
}