Robust H ∞ control of single input-delay systems based on sequential sub-predictors
- Author(s): Majdeddin Najafi 1 ; Farid Sheikholeslam 2 ; Qing-Guo Wang 2 ; Saeed Hosseinnia 3
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View affiliations
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Affiliations:
1:
Avionics Research Institute, Isfahan University of Technology, Isfahan, Iran;
2: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran;
3: Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
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Affiliations:
1:
Avionics Research Institute, Isfahan University of Technology, Isfahan, Iran;
- Source:
Volume 8, Issue 13,
04 September 2014,
p.
1175 – 1184
DOI: 10.1049/iet-cta.2012.1004 , Print ISSN 1751-8644, Online ISSN 1751-8652
© The Institution of Engineering and Technology
Received
29/06/2012,
Accepted
20/02/2014,
Revised
17/02/2014,
Published
04/07/2014
This study presents an approach to the H ∞ control of linear input-delay systems. First, an H ∞ state predictor is introduced for dead-time systems with disturbance input and measurable outputs. The author's proposed method focuses on optimisation of the disturbance propagation in sequential sub-predictors (SSP). Each of the predictors is employed to forecast the state for one portion of the delay. The H ∞ performance of the prediction error can be improved by increasing the number of predictors. Consequently, an H ∞ controller is designed for the standard H ∞ problem of dead-time systems using SSP. More importantly, the SSP method is extended to the robust H ∞ control in presence of uncertainties. Some examples are given to illustrate the effectiveness of proposed method.
Inspec keywords: robust control; H∞ control; linear systems; control system synthesis; delay systems
Other keywords: single input-delay systems; disturbance propagation; prediction error; SSP method; linear input-delay systems; H∞ state predictor; robust H∞ control; sequential sub-predictors; dead-time systems
Subjects: Stability in control theory; Control system analysis and synthesis methods; Distributed parameter control systems; Optimal control
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