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- Title
Estimation of Observer Parameters for Dynamic Positioning Ships.
- Authors
Xiaogong Lin; Yehai Xie; Dawei Zhao; Shusheng Xu
- Abstract
Considering the problem of dynamic positioning systems for the slowly varying disturbances, a parametrically adaptive observer is presented. The peak frequency of observer is adjusted on-line by autoregressive (AR) spectral estimation; other parameters of observer are optimized using particle swarm optimization (PSO). The peak frequency can be calculated by spectral analysis of the pitch, roll, and heave measurements. In the spectral estimation, Levinson-Durbin algorithm is used to solve the Yule-Walker equations. Finally, the computer simulation is given to demonstrate the effectiveness of the proposed method.
- Subjects
ESTIMATION theory; DYNAMIC positioning systems; ADAPTIVE computing systems; PARTICLE swarm optimization; AUTOREGRESSION (Statistics); MATHEMATICAL optimization
- Publication
Mathematical Problems in Engineering, 2013, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2013/173603