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Adaptive Dynamic Surface Control for Generator Excitation Control System
Joint Authors
Yan, Lin
Cui-ping, Liu
Xiu-yu, Zhang
Jian-guo, Wang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
For the generator excitation control system which is equipped with static var compensator (SVC) and unknown parameters, a novel adaptive dynamic surface control scheme is proposed based on neural network and tracking error transformed function with the following features: (1) the transformation of the excitation generator model to the linear systems is omitted; (2) the prespecified performance of the tracking error can be guaranteed by combining with the tracking error transformed function; (3) the computational burden is greatly reduced by estimating the norm of the weighted vector of neural network instead of the weighted vector itself; therefore, it is more suitable for the real time control; and (4) the explosion of complicity problem inherent in the backstepping control can be eliminated.
It is proved that the new scheme can make the system semiglobally uniformly ultimately bounded.
Simulation results show the effectiveness of this control scheme.
American Psychological Association (APA)
Xiu-yu, Zhang& Cui-ping, Liu& Jian-guo, Wang& Yan, Lin. 2014. Adaptive Dynamic Surface Control for Generator Excitation Control System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-475051
Modern Language Association (MLA)
Xiu-yu, Zhang…[et al.]. Adaptive Dynamic Surface Control for Generator Excitation Control System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-475051
American Medical Association (AMA)
Xiu-yu, Zhang& Cui-ping, Liu& Jian-guo, Wang& Yan, Lin. Adaptive Dynamic Surface Control for Generator Excitation Control System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-475051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475051