DocumentCode
2738385
Title
LQG controller with wind gust disturbance rejection property for cassegrain antenna
Author
He, Guolong ; Li, Guomin ; Liu, Min ; Huang, Ying
Author_Institution
Microwave & Antenna Group, Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
344
Lastpage
348
Abstract
Nowadays in most deep space exploration missions S- and X-band are used, but in order to increase the data rate, Ka-band is also gradually considered, designed and used in practice. The increased frequency band requires the cassegrain antennas to have a more accurate pointing ability, so the current cassegrain antenna servo system must be updated to meet the new requirement. This paper demonstrates the principles of LQG control algorithm, designs LQG controller with wind gust disturbance rejection property by state estimation and optimal feedback control, then applies it to a typical 34-m cassegrain antenna servo system. The simulation results reveal that LQG controller has a good wind gust disturbance rejection property, suppresses the disturbance transfer function significantly, and improves the command transfer function at the same time.
Keywords
feedback; linear quadratic Gaussian control; pointing systems; reflector antennas; servomechanisms; state estimation; transfer functions; Ka-band frequency; LQG controller; S-band frequency; X-band frequency; accurate pointing ability; cassegrain antenna servo system; command transfer function; optimal feedback control; size 34 m; state estimation; wind gust disturbance rejection property; Algorithm design and analysis; Antenna feeds; Control systems; Feedback control; Frequency; Optimal control; Servomechanisms; Space exploration; State estimation; Transfer functions; LQG; PI controller; cassegrain antenna; optimal feedback control; servo system; state estimation; wind gust disturbance rejection property;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358377
Filename
5358377
Link To Document