By Topic

On-line parameter identification and model validation for distributed parameter models with applications to solar thermal systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $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

4 Author(s)
Helferty, J.J. ; Dept. of Electr. Eng., Temple Univ., Philadelphia, PA, USA ; Jurand, T. ; Fischl, R. ; Herczfeld, P.

The parameter identification problem for a class of distributed parameter plug flow models characterized by first-order vector partial differential equations is investigated. It is assumed that the physical process is represented by a system of partial differential equations of known form but containing unknown parameters. A sequential parameter identification algorithm is developed to estimate the parameters for two distributed-parameter plug flow models, namely the one- and two-temperature-plug-flow models that are used to describe the dynamics of a solar collector. The problem is put into the general framework of a nonlinear identification problem which is solved by a nonlinear recursive least-square (NRLS) algorithm. The NRLS algorithm is used to estimate the model parameters from both stimulated and experimental data taken from Colorado State Universities Solar House III.<>

Published in:

System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on

Date of Conference:

0-0 1988