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Adaptive Control of Electromagnetic Suspension System by HOPF Bifurcation
Joint Authors
Hao, Aming
Li, Xiaolong
She, Longhua
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-07
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
EMS-type maglev system is essentially nonlinear and unstable.
It is complicated to design a stable controller for maglev system which is under large-scale disturbance and parameter variance.
Theory analysis expresses that this phenomenon corresponds to a HOPF bifurcation in mathematical model.
An adaptive control law which adjusts the PID control parameters is given in this paper according to HOPF bifurcation theory.
Through identification of the levitated mass, the controller adjusts the feedback coefficient to make the system far from the HOPF bifurcation point and maintain the stability of the maglev system.
Simulation result indicates that adjusting proportion gain parameter using this method can extend the state stability range of maglev system and avoid the self-excited vibration efficiently.
American Psychological Association (APA)
Hao, Aming& Li, Xiaolong& She, Longhua. 2013. Adaptive Control of Electromagnetic Suspension System by HOPF Bifurcation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1011193
Modern Language Association (MLA)
Hao, Aming…[et al.]. Adaptive Control of Electromagnetic Suspension System by HOPF Bifurcation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1011193
American Medical Association (AMA)
Hao, Aming& Li, Xiaolong& She, Longhua. Adaptive Control of Electromagnetic Suspension System by HOPF Bifurcation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1011193
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011193