DocumentCode
3137912
Title
Predictive control and stabilizing effect analysis of controlled passive tank
Author
Liang, Lihua ; Zhang, Songtao ; He, Changjiu
Author_Institution
Autom. of Coll., Harbin Eng. Univ., Harbin, China
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
2547
Lastpage
2552
Abstract
Controlled passive tank is able to achieve a more perfect stabilizing effect by extending the natural period of water tank with opening/closing the air-valves in accordance with the variation tendency of ship´s rolling. Two controlling parameters, which are most important, are the closing-time and closing time span. The determination of closing time span has a direct relation with the ship´s real-time rolling period. By adopting wavelet neural network to predict the ship´s rolling motion and real-time updating the closing time span of closing valves with the predicted values, meanwhile, real-time analysing the rolling power spectrum is applied before and after anti rolling according to the known input-output relation of anti-rolling tank model coupled with rolling. The paper shows this predictive control method which is more perfect than traditional anti rolling control effect and possess favourably practical value in engineering.
Keywords
motion control; neurocontrollers; predictive control; ships; stability; tanks (containers); valves; wavelet transforms; air-valves opening-closing; antirolling control effect; antirolling tank model; closing time span; controlled passive tank; predictive control; rolling power spectrum; ship real-time rolling period; ship rolling motion; ship rolling variation tendency; stabilizing effect analysis; water tank natural period; wavelet neural network; Analytical models; Control systems; Marine vehicles; Mathematical model; Neural networks; Real time systems; Valves; Controlled Passive Tank; Ship Rolling; Wavelet Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1275-2
Type
conf
DOI
10.1109/ICMA.2012.6285748
Filename
6285748
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