Paper Info
Title
Internal model control for structured rank deficient system based on full rank decomposition.
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.
Year
DOI
Venue
2017
10.1007/s10586-016-0685-3
Cluster Computing
Keywords
Field
DocType
Structured rank deficient system,Internal model control,Full rank decomposition,Non-square relative gain
Rank (linear algebra),Control theory,Mathematical optimization,Control theory,Computer science,Controller design,Decomposition method (constraint satisfaction),Pairing,Selection criterion,System model,Internal model,Distributed computing
Journal
Volume
Issue
ISSN
20
1
1386-7857
Citations 
PageRank 
References 
1
0.37
3
Authors
6
Name
Order
Citations
PageRank
Meiying Jiang110.37
Beiyan Jiang210.70
Wu Cai310.37
Xinghan Du410.70
Yuming Zhang510.37
Yan Huang67323.12