On line synchronous generator parameters estimation based on applying small disturbance on excitation system using ANN

Author(s):  
M. Rahimpour ◽  
M. A. Talebi ◽  
H.A. Shayanfar ◽  
M. R. Azad Hosseini
1998 ◽  
Vol 13 (3) ◽  
pp. 762-767 ◽  
Author(s):  
Seung-Ill Moon ◽  
Kook-Hun Kim ◽  
Jong-Bo Ahn ◽  
Seog-Joo Kim ◽  
Jong-Moo Lee ◽  
...  

2016 ◽  
Vol 136 (1) ◽  
pp. 18-24
Author(s):  
Daisuke Hiramatsu ◽  
Yoichi Uemura ◽  
Dai Nozaki ◽  
Shinji Mukoyama ◽  
Kazuma Tsujikawa ◽  
...  

Author(s):  
Héctor Botero ◽  
Hernán Álvarez

This paper proposes a new composite observer capable of estimating the states and unknown (or changing) parameters of a chemical process, using some input-output measurements, the phenomenological based model and other available knowledge about the process. The proposed composite observer contains a classic observer (CO) to estimate the state variables, an observer-based estimator (OBE) to obtain the actual values of the unknown or changing parameters needed to tune the CO, and an asymptotic observer (AO) to estimate the states needed as input to the OBE. The proposed structure was applied to a CSTR model with three state variables. With the proposed structure, the concentration of reactants and other CSTR parameters can be estimated on-line if the reactor and jacket temperatures are known. The procedure for the design of the proposed structure is simple and guarantees observer convergence. In addition, the convergence speed of state and parameter estimation can be adjusted independently.


2012 ◽  
Vol 548 ◽  
pp. 544-547
Author(s):  
Yong Zhi Liu ◽  
Cong Liu

A new method of fault diagnosis on the rotating rectifier of aeronautic synchronous is raised in the work. Firstly, the condition, truth and approach of EMD are introduced, and the method and steps of building up the feature vector are also included, Secondly the theories of LS-SVM and the arithmetic in the classification are also included. Finally taking the faults of one and two diodes turning off for example, after extracting the feature vector of exciting current based on EMD and establishing the classifying method based on Gauss RBF LS-SVM, the test, analysis and comparison can be on between LS-SVM and NN the conclusion can be got that the classified method referred in the work owns higher exactness, takes less time and has more application on the on-line fault diagnosis NN.


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