Actions for A least squares method for CVT calibration in a RLC capacitor discharge circuit [electronic resource].

Email RIS file
Bookmark
Report an Issue

A least squares method for CVT calibration in a RLC capacitor discharge circuit [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2003.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
23 pages : digital, PDF file
Additional Creators
Sandia National Laboratories, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online

Availability

I Want It
I Want It

Finding items...

Restrictions on Access
Free-to-read Unrestricted online access
Summary
In many applications, the ability to monitor the output of a capacitive discharge circuit is imperative to ensuring the reliability and accuracy of the unit. This monitoring is commonly accomplished with the use of a Current Viewing Transformer (CVT). In order to calibrate the CVT, the circuit is assembled with a Current Viewing Transformer (CVR) in addition to the CVT and the peak outputs compared. However, difficulties encountered with the use of CVRs make it desirable to eliminate the use of the CVR from the calibration process. This report describes a method for determining the calibration factor between the current throughput and the CVT voltage output in a capacitive discharge unit from the CVT ringdown data and values of initial voltage and capacitance of the circuit. Previous linear RLC fitting work for determining R, L, and C is adapted to return values of R, L, and the calibration factor, k. Separate solutions for underdamped and overdamped cases are presented and implemented on real circuit data using MathCad software with positive results. This technique may also offer a unique approach to self calibration of current measuring devices.
Report Numbers
E 1.99:sand2003-3932
sand2003-3932
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
11/01/2003.
"sand2003-3932"
Dickey, Fred McCartney; Yao, Stephen E.; Pecak, Sara North.
Funding Information
AC04-94AL85000
View MARC record | catkey: 14104790