Control system design for dynamic positioning using vectorial backstepping

• Autorzy: Witkowska A.
• Języki publikacji: EN

Abstrakty

EN

The problem of synthesis a dynamic positioning system for low frequency model of surface vessel was considered in this paper. The recursive vectorial backstepping control design was used to keep a fixed position and heading in presence of wave disturbances. The passive observer was introduced to smooth the measurements and to estimate the velocities needed for the control algorithm. The computer simulation results were given to demonstrate the effectiveness of that combination of controller-observer system to compensate environmental disturbances.

Słowa kluczowe

EN

dynamic positioning; backstepping; nonlinear passive observer

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe / Akademia Morska w Szczecinie
• Rocznik: 2013
• Tom: nr 36 (108) z. 1
• Strony: 182--187
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Witkowska A.

• Gdańsk University of Technology, Electrical and Control Engineering Department 80-233 Gdańsk, ul. Narutowicza 11/12

Bibliografia

• 1. TOMERA M.: Nonlinear controller design of a ship autopilot. International Journal of Applied Mathematics and Computer Science, Vol. 20, No. 2, 2010, 271–280.
• 2. GRIMBLE M., ZHANG Y., KATEBI M.R.: H∞-based ship autopilot design. Ship Control Symposium, Ottawa 1993, 678–683.
• 3. MESSER A., GRIMBLE M.: Introduction to robust shiptrackkeeping control design. Transactions of the Institute of Measurement and Control. Vol. 15, No. 3, 1993, 104–110.
• 4. KRSTIC M., KANELLAKOPULOS I., KOKOTOVIC P.V.: Nonlinear and Adaptive Control Design. John Wiley and Sons Ltd., New York 1995.
• 5. FOSSEN T.I.: Marine Control Systems: Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles. Marine Cybernetics, Trondheim 2002.
• 6. Xu R., Wang Q., Song Y., Zheng R., Chen M.: Study on Ship Dynamic Positioning System’s Thruster Allocation Based on Genetic Algorithm. International Conference on Information Science and Technology. Nanjing, Jiangsu 2011.
• 7. CAO Y., LEE T., GARRETT D., CHAPPELL: Dynamic Positioning of Drilling Vessels with a Fuzzy Logic Controller. Dynamic Positionig Conference. Houston 2001.
• 8. CAO Y., ZHOU Z., VORUS W.: Application of a Neural Network Predictor / Controller to Dynamic Positioning of Offshore Structures. Dynamic Positionig Conference. Houston 2000.
• 9. BANKA S., DWORAK P., BRAASEL M.: On control of nonlinear dynamic mimo plants using a switchable structure of linear modal controllers. Measurement Automation and Monitoring, Vol. 56, No. 5, 2010, 385–391.
• 10. GRIMBLE M., FUNG P.: Dynamic Ship Positioning Using a Self-tuning Kalman Filter. Transaction on Automatic Control. IEEE, Vol. AC-28, No. 3, 1983.
• 11. FOSSEN T.I., STRAND J.P.: Passive nonlinear observer design for ships Using Lyapunov Methods: Experimental Results with a Supply vessel. Automatica, Vol. 35, No. 1 (Jan), 1999, 3–16.
• 12. GODHAVN J.M., FOSSEN T.I., BERGE S.P.: Non-linear and adaptive backstepping designs for tracking control of ships, International Journal of Adaptive Control and Signal Processing 12(8), 649–670.
• 13. SKJETNE R.: The Maneuvering Problem. Ph.D. thesis, Norwegian University of Science and Technology, Trondheim 2005.
• 14. WITKOWSKA A., TOMERA M., ŚMIERZCHALSKI R.: A Backstepping approach to ship course control. Int. J. Appl. Math. Comput. Sci., Vol. 17, No. 1, 2007, 73–85.
• 15. WITKOWSKA A., ŚMIERZCHALSKI R.: Designing a ship course controller by applying the adaptive backstepping method. Int. J. Appl. Math. Comput. Sci., Vol. 22, No. 4, 2012, 985–997.