Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23232
Title: Backstepping control of the synchronous generator based on the neural networks
Authors: Wang, J
Li, T
Zeng, QM 
Keywords: Backstepping
Generator control
Neural networks
Synchronous generator
Issue Date: 2003
Publisher: 中国电机工程学会
Source: 中国电机工程学报 (Proceedings of the Chinese Society for Electrical Engineering), 2003, v. 23, no. 12, p. 140-145 How to cite?
Journal: 中国电机工程学报 (Proceedings of the Chinese Society for Electrical Engineering) 
Abstract: For the characters of serious nonlinear and unknown or uncertain parameters, a backstepping control method based on neural networks is proposed to realize multi-object generator control. Neural networks are used to solve the contradiction between backstepping control and unmatching of systems. A special weight online tuning method is proposed in the system, and an off-line training phase was not required. According to the proof of stability, the method does not require the system parameters to be exactly known, and the system was robustness. The simulation result verified that the method is effective such as small overshoot, short tuning time and etc.
URI: http://hdl.handle.net/10397/23232
ISSN: 0258-8013
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Citations as of Feb 25, 2017

Page view(s)

38
Last Week
0
Last month
Checked on Jun 19, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.