|
DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/685
|
| Title: | A comparative study on estimation techniques with applications to power signal frequency |
| Authors: | Subudhi, B
Ray, P K
Mohanty, S R
Panda, A M |
| Keywords: | Extended Least Square Technique
Kalman Filter
Least Mean Square Technique
Power System Parameters |
| Issue Date: | 2008 |
| Publisher: | Polish Academy of Sciences |
| Citation: | Archives of Control Sciences, Vol 18 (LIV), No 1, P 5-13 |
| Abstract: | An extended least square (ELS) technique has been proposed in this paper for power system
frequency estimation. The validation of the above technique has been made by comparing its
performance with the existing techniques such as Kalman filter (KF) and least mean square
(LMS) technique etc. It has been observed through a series of simulation studies on frequency
estimation that the ELS technique exhibits better performance in comparison to both the LMS
and KF methods of power system frequency estimation. In Kalman filter, the determination
of covariance matrix is very crucial leading to delay in convergence. LMS algorithm becomes
complicated with the incorporation of correlation matrix, which may affect the convergence.
On the contrary extended least square algorithm seems to be very simple and attractive without
the implementation of covariance and correlation matrix. The feasibility of the ELS algorithm
for frequency estimation has been tested with a signal buried with nois... |
| Description: | Copyright for the article belongs to Polish Academy of Sciences |
| URI: | http://hdl.handle.net/2080/685 |
| Appears in Collections: | Journal Articles
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| subudhi-2008-ACS.pdf | | 367Kb | Adobe PDF | View/Open |
|
Show full item record
All items in DSpace are protected by copyright, with all rights reserved.
|
