DocumentCode
666283
Title
Polynomial-based inertia ratio controller design for vibration suppression in two-mass system
Author
Yue Qiao ; Lin Zhou ; Chengbin Ma
Author_Institution
Univ. of Michigan-Shanghai Jiao Tong, Shanghai, China
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
3687
Lastpage
3692
Abstract
In this paper, a polynomial-based design of inertia ratio controllers is discussed for the vibration suppression in two-mass system. A tradeoff relationship is shown to exist between damping and robustness performances in the control problem. A desirable inertia ratio of 5/16 is derived at which IP control provides a proper damping. Then two approaches for the control of equivalent inertia ratio are discussed without/with load velocity feedback. “Resonance ratio control” is capable of providing a sufficient damping for large inertia ratios by using only drive velocity feedback. However, a negative derivative gain is necessary, which leads to a poor robustness. By using both drive and load velocity feedback, the equivalent inertia ratio can be exactly specified as 5/16. The proposed “inertia ratio controller” design shows an obvious improvement in terms of both damping and robustness performances. All the experimental results validate the polynomial-based theoretical analysis and controller design. The demonstrated generality and the explicit expression of damping indicate the promising prospect of the polynomial-based controller design for solving more complicated control problems.
Keywords
control system synthesis; damping; feedback; polynomials; robust control; vibration control; IP control; damping performances; drive velocity feedback; load velocity feedback; polynomial-based inertia ratio controller design; polynomial-based theoretical analysis; resonance ratio control; robustness performances; two-mass system; vibration suppression; Damping; IP networks; Polynomials; Robustness; Shafts; Torque; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6699722
Filename
6699722
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