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A comprehensive frequency domain identification of a coastal patrol vessel

Ghorbani, M. T ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2012.6292482
  3. Publisher: 2012
  4. Abstract:
  5. In This paper detailed frequency-domain system identification method is applied to identify steering dynamics of a naval coastal patrol vessel using a data analysis software tool, called CIFER. Advanced features such as Chirp-Z transform and composite windowing techniques are used to extract high quality frequency responses. An accurate, linear and robust transfer function models are derived for yaw and roll dynamics of the vessel. In addition, to evaluate the accuracy of the identified model, time-domain responses from a 45-45 zig-zag test are compared with the responses predicted by the identified model. The model shows excellent predictive capability that is well suited for simulation applications as well as control design
  6. Keywords:
  7. Composite windowing ; Frequency-domain ; Identification ; Patrol Vessel ; Chirp Z transform ; Coastal patrol vessels ; Control design ; Data analysis softwares ; Frequency domains ; Frequency-domain identification ; High quality ; Predictive capabilities ; Roll dynamics ; Simulation applications ; Steering dynamics ; System identification methods ; Time domain ; Transfer function model ; Windowing techniques ; Zig-zag ; Computer simulation ; Electrical engineering ; Frequency response ; Identification (control systems) ; Z transforms ; Naval vessels
  8. Source: ICEE 2012 - 20th Iranian Conference on Electrical Engineering, 15 May 2012 through 17 May 2012 ; May , 2012 , Pages 904-909 ; 9781467311489 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6292482