By Topic

Parameter estimation of excitation systems from sampled data

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Liaw, C.M. ; Dept. of Electr. Eng., Nat. Tsing Hua Univ., Ksinchu, Taiwan ; Liu, T.S. ; Liu, A.H. ; Chen, Y.T.
more authors

The parameter estimation of excitation systems using a proposed indirect stochastic method is presented. In this method, the discrete-time ARMA model corresponding to each block of the excitation system is first identified from sampled input/output data. Then, the proper reduced order of the continuous-time model is determined using the concept of dominant energy modes. Finally, the parameters of the continuous-time model are found by matching its frequency response to that of the identified ARMA model. The proposed method is used to estimate the parameters of an excitation system in a pumped storage power plant. The results show that the estimated continuous-time models are rather close to those supplied by the vender

Published in:

Automatic Control, IEEE Transactions on  (Volume:37 ,  Issue: 5 )