TY  - JOUR
AU  - Aziz, Elena
AU  - Reddy, Omar
TI  - Kalman Filtering for Wind Turbine Power Converters
JO  - Open Access Journal of Engineering Applications
PY  - 2014
VL  - 38
IS  - 1
SP  - 384
EP  - 410
AB  - In many developing countries, problems with wind turbine power converters remain a critical obstacle to the sustainable growth of steel fabrication. A comprehensive model was developed and solved by means of Kalman filtering to capture the dominant physical mechanisms. A reduction of nearly 38% in energy consumption was achieved without any loss of reliability. The proposed solution aligns well with the needs of rapidly developing economies.
KW  - wind turbine power converters
KW  - Kalman filtering
KW  - wireless sensor network
KW  - thin film
KW  - model predictive control
SN  - 3105-7004
DO  - 10.55555/oajea.2014.3801.020
UR  - https://journal.bsaps.com/article/9087
ER  -