Improvements of magnetic suspension active vibration isolation for floating raft system
A floating raft system is a special double-layer isolation system aiming to reduce the level of noise and vibration and has been widely applied to many kinds of ships and submarines. It can isolate vibration of hosts and auxiliary machines and reduce the structural noise of ships and submarines effe...
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Published in | International journal of applied electromagnetics and mechanics Vol. 53; no. 2; pp. 193 - 209 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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London, England
SAGE Publications
01.02.2017
Sage Publications Ltd |
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Abstract | A floating raft system is a special double-layer isolation system aiming to reduce the level of noise and vibration and has been widely applied to many kinds of ships and submarines. It can isolate vibration of hosts and auxiliary machines and reduce the structural noise of ships and submarines effectively. It can also protect the equipments and instruments in ships and submarines from being damaged, and makes them to be operated properly when ships and submarines are subjected to external loads and sudden shocks. However, the floating raft system is generally a flexible structure and it is subject to multiple frequency disturbances. The design of control systems to enhance its isolation performance is an active area of research. This paper presents improvements achieved by using a dynamic step FXLMS controller whose main benefit is to balance convergence speed and steady-state error by making the convergence coefficient vary with time. The mathematical model of the dynamic system to be used in the controller is obtained by the observer/Kalman filter identification (OKID) method. The performance of the new solution (dynamic step size FXLMS with OKID model) is compared with previous work based on a fuzzy controller and a dynamic model identified via the prediction error method. Both simulated and experimental results confirm the validity and the benefits of the approach. |
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AbstractList | A floating raft system is a special double-layer isolation system aiming to reduce the level of noise and vibration and has been widely applied to many kinds of ships and submarines. It can isolate vibration of hosts and auxiliary machines and reduce the structural noise of ships and submarines effectively. It can also protect the equipments and instruments in ships and submarines from being damaged, and makes them to be operated properly when ships and submarines are subjected to external loads and sudden shocks. However, the floating raft system is generally a flexible structure and it is subject to multiple frequency disturbances. The design of control systems to enhance its isolation performance is an active area of research. This paper presents improvements achieved by using a dynamic step FXLMS controller whose main benefit is to balance convergence speed and steady-state error by making the convergence coefficient vary with time. The mathematical model of the dynamic system to be used in the controller is obtained by the observer/Kalman filter identification (OKID) method. The performance of the new solution (dynamic step size FXLMS with OKID model) is compared with previous work based on a fuzzy controller and a dynamic model identified via the prediction error method. Both simulated and experimental results confirm the validity and the benefits of the approach. |
Author | Zhang, Jinguang Yang, Beibei Song, Chunsheng Vicario, Francesco Hu, Yefa |
Author_xml | – sequence: 1 givenname: Beibei surname: Yang fullname: Yang, Beibei organization: , Wuhan, Hubei – sequence: 2 givenname: Yefa surname: Hu fullname: Hu, Yefa email: songchsh@whut.edu.cn organization: , Wuhan, Hubei – sequence: 3 givenname: Francesco surname: Vicario fullname: Vicario, Francesco organization: , Cambridge, MA – sequence: 4 givenname: Jinguang surname: Zhang fullname: Zhang, Jinguang organization: , Wuhan, Hubei – sequence: 5 givenname: Chunsheng surname: Song fullname: Song, Chunsheng email: songchsh@whut.edu.cn organization: , Wuhan, Hubei |
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Cites_doi | 10.1109/TASL.2012.2223673 10.1016/j.sigpro.2010.05.009 10.1006/jsvi.1996.0788 10.3233/JAE-2011-1402 10.1016/0022-460X(90)90558-H 10.3233/JAE-2009-1040 10.1016/S0967-0661(03)00135-7 10.1016/0022-460X(71)90427-5 10.1006/jsvi.1999.2603 10.1016/j.conengprac.2006.08.004 10.3233/JAE-150033 10.1016/j.conengprac.2012.06.010 10.1002/stc.1719 10.1109/PROC.1975.10036 10.1006/jsvi.1997.1152 10.1121/1.386908 10.2514/3.20805 10.2514/3.20031 10.3233/JAE-150017 10.1016/j.aeue.2013.04.012 10.1109/ICASSP.1980.1170986 10.1016/j.jsv.2004.08.013 10.2514/3.21006 10.1016/j.jsv.2009.07.023 10.1006/jsvi.2001.3741 10.1016/S1007-0214(08)70003-8 |
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Keywords | observer/Kalman filter identification Floating raft system magnetic suspension isolator dynamic step size FXLMS algorithm |
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SubjectTerms | Active control Computer simulation Control systems design Convergence Fuzzy control Kalman filters Noise reduction Ships Submarines Vibration control |
Title | Improvements of magnetic suspension active vibration isolation for floating raft system |
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