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Published in: Cluster Computing 1/2017

25-11-2016

Internal model control for structured rank deficient system based on full rank decomposition

Authors: Meiying Jiang, Beiyan Jiang, Wu Cai, Xinghan Du, Yuming Zhang, Yan Huang

Published in: Cluster Computing | Issue 1/2017

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Abstract

In this paper, an internal model control method is first proposed for structured rank deficient systems based on full rank decomposition. The system is first converted into a column full rank system by designing a pre-compensator. Then a feedback-compensator is designed to improve the dynamic characteristics of the full rank system and decrease the controller design difficulties. Rather than performing complex designing calculations, the pre- and feedback- compensators are designed by the full rank decomposition method. Furthermore, the non-square relative gain subsystem selection criterion is used to choose the square subsystem and to realize loop pairing. Consequently, the selected square subsystem is used as an internal model to design the internal model controller. Finally, a simple process is taken as the simulation object to demonstrate the validity and feasibility of the new method. Simulations results illustrate that the proposed strategy is not only simple and easy to implement but also has a good performance even the system model is mismatched.

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Metadata
Title
Internal model control for structured rank deficient system based on full rank decomposition
Authors
Meiying Jiang
Beiyan Jiang
Wu Cai
Xinghan Du
Yuming Zhang
Yan Huang
Publication date
25-11-2016
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-016-0685-3

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