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Lift fin stabilizers based on data fusion with wavelet denoising technology
Received:2009/2/26  Revised:2009/11/9
Keywords:Fin-angle feedback control  Fin-lift feedback control  Wavelet denoising  Data fusion  Fin stabilizers
Fund Project:This work was supported by the Ship Control Engineering Emphasis Project of 211 Engineering in the Tenth Five-Year Plan.
AuthorInstitutionE-mail
Yanhua LIANG College of Mechanical Electrical Engineering, Harbin Engineering University, Harbin Heilongjiang 150001, China; College of Electrical and Information Engineering, Heilongjiang Institute of Science and Technology, Harbin Heilongjiang 150027, China lyhmm2003@yahoo.com.cn 
Kai XUE College of Mechanical Electrical Engineering, Harbin Engineering University, Harbin Heilongjiang 150001, China  
Hongzhang JIN College of Automation, Harbin Engineering University, Harbin Heilongjiang 150001, China  
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Abstract:
      Fin stabilizers with fin-lift feedback control can shield the mapping error of calculation between the fin angle and fin lift force, which is in the fin stabilizer with fin-angle feedback control. In practice, there are some technical difficulties in lift fin stabilizers, such as lift force detection and lift force sensor installation, so it cannot achieve the good antirolling performance. Therefore, a fin stabilizer system with fin-lift/fin-angle integrated control is brought forward. Data fusion based on wavelet denoising technology is employed in the system, which combines lift with fin angle local information from two sensors with different frequency ranges in order to eliminate redundant and contradictory information, and using complementary information to obtain the relative integrity of the lift force signal. The system model is established in this paper, and the fusion signal and the antirolling performance of this model are simulated respectively. The result shows that the control system can meet the antirolling need in different sea situations.
Yanhua LIANG,Kai XUE and Hongzhang JIN.Lift fin stabilizers based on data fusion with wavelet denoising technology[J].Journal of Control Theory and Applications,2010,8(4):485~490.
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