Neural network-PID controller for roll fin stabilizer

• Autorzy: Ghassemi H. , Dadmarzi F.H. , Ghadimi P. , Ommani B.
• Języki publikacji: EN

Abstrakty

EN

Fin stabilizers are very effective devices for controlling the ship roll motion against external wave-generated moments. Lift forces due to flow around fin with an angle of attack produce anti - roll moment. Therefore control of attack angle plays important role in reducing roll of ships. This paper presents results of using a combined neural network and PID for roll control of ship with small draught. Numerical results are given of around-fin flow analysis with considering free surface effect modelled by neural network and imposed to controlling loop. Hydraulic machinery constraints are also considered in the modelling. The obtained results show good performance of the controller in reducing roll amplitude in random seas. The approach can be used for any irregular sea conditions

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2010
• Tom: 17
• Numer: 2
• Opis fizyczny: p.23-28,fig.,ref.

Twórcy

autor

Ghassemi H.

• Faculty of Marine Technology, Amirkabir University of Technology, Hafez Ave., Teheran, Iran

autor

Dadmarzi F.H.

• Faculty of Marine Technology, Amirkabir University of Technology, Hafez Ave., Teheran, Iran

autor

Ghadimi P.

• Faculty of Marine Technology, Amirkabir University of Technology, Hafez Ave., Teheran, Iran

autor

Ommani B.

• Faculty of Mechanical Engineering, Sharif University of Technology, Teheran, Iran

Bibliografia

• 1. Whicker L.F., Fehlner L.F.: Free-stream characteristics of a family of low aspect-ratio, all-moveable control surface for application to ship design. DTMB report, 1958
• 2. Pitt W.C., Nielsen J.N., Kaatari G.E.: Lift and center pressure of wing–body–tail combinations at subsonic, transonic and supersonic speeds. NACA report 1307, 1959
• 3. Sheldahl R. E. and Klimas P. C.: Aerodynamic, Hydrofoil data, Sandia National Laboratories, Albuquerque, New Mexico, March 1981
• 4. Newman J.N.: Marine Hydrodynamics, 1977
• 5. Bal S., Kinnas S. A., Lee H.: Numerical analysis of 2-D and 3-D cavitating hydrofoils under a free surface, J. Ship Res., 45, 1, 2001
• 6. 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 Engineering 28, 2000
• 7. Hoseini Dadmarzi F., Ghassemi H., Ghadimi P., Ommani B.: Flow field analysis around the ship fin stabilizer including free surface, Proceedings of the OMAE2009, Hawaii, USA, 2009
• 8. Tristan Perez: Ship motion control: course keeping and roll stabilization using rudder and fins, Springer 2005
• 9. Surendran S., Lee S.K., Kim S.Y.: Studies on an algorithm to control the roll motion using active fins, Ocean Engineering 34, 2007
• 10. Lian Yan-hua, Jin Hong-zhang, Liang Li-hua: Fuzzy-PID controlled lift feedback fin stabilizer, J. Marine. Sci. Appl. (2008) 71
• 11. Wu C. and Huang C.: A Neural Network Controller with PID Compensation for Trajectory Tracking of Robotic Manipulators, J. Franklin Inst. Vol. 333(B), No. 4, 1996
• 12. Zirilli A., Roberts GN., Tiano A., Sutton R.: Adaptive steering of a containership based on neural networks, International Journal of Adaptive Control and Signal Proceedings of the Int. J. Adapt. Control Signal Process. 2000; 14
• 13. Alarcin F., Gulezb K.: Rudder roll stabilization for fishing vessel using neural network approach, Ocean Engineering 34, 2007
• 14. Blanke M. and Christensen A.: Rudder-roll damping autopilot robustness to sway-yaw-roll couplings. 10th Ship Control Systems Symposium, Ottawa, Canada (1993).

Identyfikatory

DOI

10.2478/v10012-010-0014-3