Title :
Fusion of Distributed Sensor and Its Application in HVDC
Author :
Liu, Xi-Mei ; Dong-mei Lv
Author_Institution :
Qingdao Univ. of Sci. & Technol., Qingdao
fDate :
May 30 2007-June 1 2007
Abstract :
The problem of distributed Kalman filtering for sensor network is one of the most fundamental distributed estimation problems for scalable sensor fusion. This article introduced that the sensor-fusion algorithm was based on the least-squares estimate of a vector which is based on the measurements of all the agents and the covariance of this fused least-squares estimate. It also showed that dynamic consensus can be followed by these vectors which can be analyzed by algebraic connectivity of consensus velocity. And its application was validated in HVDC. The simulation proves that it can reduce the promulgation of the noise, implementing the convergence and tracking the fast signal.
Keywords :
HVDC power convertors; distributed sensors; least squares approximations; sensor fusion; HVDC; distributed Kalman filtering; distributed sensor fusion; least-squares estimate; scalable sensor fusion; sensor network; Automatic control; Automatic voltage control; Automation; Control systems; Distributed algorithms; Filtering; HVDC transmission; Kalman filters; Sensor fusion; Sensor phenomena and characterization; High Voltage Direct Current (HVDC); algebraic connectivity; covariance fusion; distributed fusion; measurement fusion;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376884
