NDLI: Robust adaptive excitation controller design based on sliding mode control and neural network disturbances observers

Content Provider	IEEE Xplore Digital Library
Author	Ma, Hebang Zhou, Jianzhong Wan, Yi
Copyright Year	2012
Description	Author affiliation: The Institute of system science, Huazhong University of Science and Technology, 430074, Wuhan, China (Ma, Hebang; Zhou, Jianzhong) \|\| Department of Acquisition, Academy of Wuhan Economy, 430035, China (Wan, Yi)
Abstract	This paper proposed a robust adaptive excitation controller based on Neural Network Disturbances Observers(NNDO) and sliding mode control for SMIB power system. Main theory result is firstly presented and then a dynamic controller is constructered for a class of general nonlinear uncertain system by using neural network and sliding mode control.Neural network is used as an estimator of external disturbances and which be compensated in the controller. Sliding mode dynamic is designed at the last step for enhancing the ability of attenuating uncertainty of the system. Finally,we apply the control strategy into SMIB power system. Simulation is performed and the result shows that the proposed controller is effective for attenuating disturbances.
Starting Page	524
Ending Page	529
File Size	992402
Page Count	6
File Format	PDF
ISBN	9781467315241
e-ISBN	9780956715715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Huazhong Univ of Sci & Tec
Subject Keyword	Disturbances observers Adaptive Neural networks Power system dynamics Robust Power system stability Stability analysis Robustness Neural network Transient analysis Excitation controllers Sliding mode control
Content Type	Text
Resource Type	Article

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