Skip to main content
SpringerLink
Log in

Nonlinear modelling of a fishing boat and Fuzzy Logic Control design for electro-hydraulic fin stabilizer system

  • Original Paper
  • Published:
Nonlinear Dynamics Aims and scope Submit manuscript

Abstract

The aim of this study is to decrease a fishing boat’s nonlinear roll motion using Electro-Hydraulic (EH) fin roll stabilizer, which is adversely affected by disturbing hydrodynamic forces, by applying fin roll stabilizer. By Fuzzy Logic Control (FLC) method, the fishing boat rolling was examined considering initial conditions. Besides, NACA 0015 model was utilized for the fin roll stabilizer and flow analysis was conducted by CFD method. According to the simulation results, FLC algorithms were rather more efficient than PID (Proportional-Integral-Derivative) in the EH fin roll stabilizer system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  1. Lee, C.M., Park, I.R., Chun, H.H., Lee, S.J.: Effect of free surface and strut on fins attached to a strut. Ocean Eng. 28, 159–177 (2000)

    Article  Google Scholar 

  2. Surendran, S., Lee, S.K., Kim, S.Y.: Studies on an algorithm to control the roll motion using active fins. Ocean Eng. 34, 542–551 (2007)

    Article  Google Scholar 

  3. Whicker, L.F., Fehlner, L.F.: Free-stream characteristics of a family of low aspect-ratio, all-movable control surface for application to ship design. DTMB Report (1958)

  4. Taylan, M.: Solution of the nonlinear roll model by a generalized asymptotic method. Ocean Eng. 26, 1169–1181 (1999)

    Article  Google Scholar 

  5. Taylan, M.: The effect of nonlinear damping and restoring in ship rolling. Ocean Eng. 27, 921–932 (2000)

    Article  Google Scholar 

  6. Surendran, S., Venkata Ramana Reddy, R.: Roll dynamics of a Ro–Ro ship. Int. Shipbuild. Prog. 49(4), 301–320 (2002)

    Google Scholar 

  7. Guan, W., Zhang, X.K.: Concise robust fin roll stabilizer design based on integrator backstepping and CGSA. In: 3rd International Symposium on Systems and Control Aeronautics and Astronautics, Harbin, pp. 1392–1397 (2010)

    Google Scholar 

  8. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  9. Kalyoncu, M., Haydim, M.: Mathematical modelling and fuzzy logic based position control of an electro-hydraulic servo system with internal leakage. Mechatronics 19(6), 847–858 (2009)

    Article  Google Scholar 

  10. Deticek, E.: A fuzzy self-learning position control of hydraulic drive. Cybern. Syst. 31(8), 821–836 (2000)

    Article  MATH  Google Scholar 

  11. Cetin, Ş., Akkaya, A.V.: Simulation and hybrid fuzzy-PID control for positioning of a hydraulic system. Nonlinear Dyn. 61, 465–476 (2010)

    Article  MATH  Google Scholar 

  12. Tong, S., Li, Y.: Observer-based fuzzy adaptive control for strict-feedback nonlinear systems. Fuzzy Sets Syst. 160, 1749–1764 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  13. Li, Y., Tong, S., Liu, Y., Li, T.: Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on small-gain approach. IEEE Trans. Fuzzy Syst. (2013). doi:10.1109/TFUZZ.2013.2249585

    Google Scholar 

  14. Ikeda, Y., Himeno, Y., Tanaka, N., York, N.: A prediction method for ship roll damping. Report No. 00405 of the Department of Naval Architecture, University of Osaka Prefecture (1978)

  15. Ikeda, Y.: Prediction methods of roll damping of ships and their application to determine optimum stabilization devices. In: Proc. of the 6th Int. Workshop on Stability, Osaka, Japan (2002)

    Google Scholar 

  16. Dalzell, J.F.: A note on the form of ship roll damping. J. Ship Res. 22, 178–185 (1978)

    Google Scholar 

  17. Perez, T.: Ship Motion Control. Springer, Berlin (2005)

    Google Scholar 

  18. Aström, K.J., Hagglund, T.: PID Controllers—Theory, Design and Tuning. Instrument Society of America, Research Triangle Park (1995)

    Google Scholar 

  19. Ogata, K.: Modern Control Engineering, 4th edn. Prentice Hall, New York (1990)

    MATH  Google Scholar 

  20. Aydın, M., Akyıldız, H.: Assessment of the intact stability characteristics of the fishing boats suitable for Turkish water. ITU Publ. 4(6) (2005). ISSN 1307-703X

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Naval Architecture and Maritime, Yıldız Technical University, 34349, Beşiktaş, Istanbul, Turkey

    Fuat Alarçin

Authors
  1. Fuat Alarçin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fuat Alarçin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alarçin, F. Nonlinear modelling of a fishing boat and Fuzzy Logic Control design for electro-hydraulic fin stabilizer system. Nonlinear Dyn 76, 581–590 (2014). https://doi.org/10.1007/s11071-013-1152-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11071-013-1152-9

Keywords

Search

Navigation