The DGPS Maximum Speed Prediction Based on AR Model in Full-Scale Speed and Power Trial

Ming Yu Gu; Yan Ying Wang

doi:10.4028/www.scientific.net/AMR.424-425.265

Paper Titles

Protein Folding Simulation Based on Improved Simulated Annealing Algorithm
p.246

Modeling and Analysis of Metabolism Process with Finite State Machine
p.250

Parametric Modeling of Five Typical Cylindrical Shells
p.255

Research and Design on the High-Voltage Line Harmonic Detection Based on a New Method
p.260

The DGPS Maximum Speed Prediction Based on AR Model in Full-Scale Speed and Power Trial
p.265

Parametric Modeling of Six Typical Reticulated Dome
p.270

Effect of Ambient Temperature on Three-Shaft Gas Turbine Performance under Different Control Strategy
p.276

Modeling, Simulation and Analysis of Mechanical Ruling of Echelle Grating
p.281

Analysis on Vibration Conductivity in Walls of Hydropower House Based on Power Flow Theory
p.285

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425The DGPS Maximum Speed Prediction Based on AR...

The DGPS Maximum Speed Prediction Based on AR Model in Full-Scale Speed and Power Trial

Abstract:

It is difficult to decide when the speed of a ship reaches to stability only by the experience of a test personnel in a speed and power trial. In this paper, a speed prediction method based on AR model is proposed to obtain the maximum speed automatically during the speed and power trial. In order to get high prediction accuracy, a detailed analysis is made on prediction process parameters. The results show that the related error between the prediction maximum speed and the actual value is low enough to meet the engineering requirements

You might also be interested in these eBooks

Advanced Research on Engineering Materials, Energy, Management and Control

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

265-269

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.265

Citation:

Cite this paper

Online since:

January 2012

Authors:

Ming Yu Gu, Yan Ying Wang

Keywords:

Autoregressive AR Model, DGPS, Full-Scale Speed Trial

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Qiang Li, H. (Howard) Fan and Erlandur Karlsson: A Delta MYWE Algorithm for Parameter Estimatioin of Noisy AR Processes, IEEE transactions on signal processing, Vol. 44, No. 5, May (1996), p.1300.

DOI: 10.1109/78.502349

Google Scholar

[2] Manuel G. Soares, Benedita Malheiro and Francisco J. Restivo: An Internet DGPS Service for Precise Outdoor Navigation, IEEE transactions on signal processing, Vol 76, Nov. (2003), p.586.

DOI: 10.1109/etfa.2003.1247750

Google Scholar

[3] Wang Liang, Wu Cheng-fu and Kang Feng-ju: Application of DGPS Simulator in HIL Simulation of Aerocraft, IEEE, 978-1-4244-1787-2/08 (2008).

DOI: 10.1109/asc-icsc.2008.4675423

Google Scholar

[4] Leland B. Jackson, Jianguo Huang and Kevin P. Richards: AR, ARMA, and AR-in-Noise Modeling by Fitting Windowed Correlation Data, IEEE transactions on acoustics, speech, and signal processing. Vol. 37, No. 10. Oct. (1989).

DOI: 10.1109/icassp.1987.1169353

Google Scholar

[5] Kareem E. Baddour and Norman C. Beaulieu, in: Autoregressive Modeling for Fading Channel Simulation, IEEE transactions on wireless communications, Vol. 4, No. 4, July (2005).

DOI: 10.1109/twc.2005.850327

Google Scholar

[6] Specialist Committee of 23rd ITTC on Speed and Powering, Full scale measurements speed and power trials trial conditions, ITTC Recommended Procedures (2002).

Google Scholar