DocumentCode :
347975
Title :
Study of joint control system of main/flapped fin stabilizer
Author :
Shengzhong, Chen ; Sheng, Liu ; Jingchuan, Sun
Author_Institution :
Autom. Coll., Harbin Eng. Univ., China
Volume :
2
fYear :
1999
fDate :
9-12 May 1999
Firstpage :
896
Abstract :
A ship fin stabilizer´s joint control system is proposed and studied. The paper studies modeling of the system by utilizing the weighing least square algorithm upon the fin stabilizer´s hydrodynamics. Considering the stochastic measuring noise and practicability of engineering, the paper adopts a Kalman filter to estimate the state variables, on the basis of which this paper employs LQG control theory to design the system. Finally, simulation of the system is carried out, the result of which shows that the new project has more obvious efficiency than a traditional fin stabilizer regarding stabilization and saving power.
Keywords :
attitude control; least squares approximations; linear quadratic Gaussian control; ships; stability; Kalman filter; LQG control theory; flapped fin stabilizer; hydrodynamics; joint control system; main fin stabilizer; modeling; ship fin stabilizer; simulation; stabilization; state variable estimation; stochastic measuring noise; weighing least square algorithm; Control systems; Control theory; Design engineering; Hydrodynamics; Least squares methods; Marine vehicles; Noise measurement; State estimation; Stochastic resonance; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
ISSN :
0840-7789
Print_ISBN :
0-7803-5579-2
Type :
conf
DOI :
10.1109/CCECE.1999.808122
Filename :
808122
Link To Document :
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