Power leader fault detection in nonlinear leader-follower networks

This paper presents a model for fault detection of a power leader in nonlinear leader-follower networks. The fault detection method is developed for the network model proposed by Wang and Slotine. Every follower is coupled with a nonlinear, neural net based observer for fault detection. Neural net t...

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Bibliographic Details
Main Authors: Dae-Yi Jung, Selmic, R.R.
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Fault detection
Fault diagnosis
Fault tolerant systems
Fuzzy logic
Intelligent control
Learning
Neural networks
Nonlinear systems
Power system interconnection
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Summary:This paper presents a model for fault detection of a power leader in nonlinear leader-follower networks. The fault detection method is developed for the network model proposed by Wang and Slotine. Every follower is coupled with a nonlinear, neural net based observer for fault detection. Neural net tuning algorithms are derived and fault identifiers are developed using the Lyapunov approach. We consider fault detection of the power leader, and how such fault propagates through the network. We estimate the power leader fault detectability time based on the followers¿ observers. The paper studies properties of the fault dynamics i.e., the dynamics of a fault evolution process through a network of interconnected dynamic elements. The approach for leader-follower fault detection can also be used with any other type of nonlinear systems observer. Simulation results are presented to illustrate the effectiveness of the proposed technique.
ISSN:0191-2216
DOI:10.1109/CDC.2008.4738910