Please use this identifier to cite or link to this item:
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
Source: Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2003, v. 23, no. 12, p. 140-145 How to cite?
Journal: Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of 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.
ISSN: 0258-8013
Appears in Collections:Journal/Magazine Article

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


Citations as of Feb 25, 2017

Page view(s)

Last Week
Last month
Checked on May 21, 2017

Google ScholarTM


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