Adaptive Fuzzy Controller Design for Dynamic Positioning System

Yong Sheng Zhao; Yi Ming Bai; Wen Hui Wu

doi:10.4028/www.scientific.net/AMM.541-542.1256

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 541-542Adaptive Fuzzy Controller Design for Dynamic...

Adaptive Fuzzy Controller Design for Dynamic Positioning System

Abstract:

An adaptive fuzzy controller for dynamic positioning (DP) system is designed. The controller utilizes Backstepping algorithm as the adaptive law and uses a fuzzy system for approximating the disturbances and uncertainties. The proposed adaptive fuzzy controller is proven to be uniform bounded in the sense of Lyapunov. Simulation results show that DP vessel with the adaptive fuzzy controller would be more adaptive with environmental interference and ship parametric uncertainty.

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Periodical:

Applied Mechanics and Materials (Volumes 541-542)

Pages:

1256-1259

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.541-542.1256

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Online since:

March 2014

Authors:

Yong Sheng Zhao, Yi Ming Bai, Wen Hui Wu

Keywords:

Adaptive Control, Backstepping, Dynamic Positioning, Fuzzy Control

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References

[1] P.T.K. Fung and M.J. Grimble: IEEE Trans on Automatic Control, Vol. AC-28(3) (1983), p.339.

Google Scholar

[2] Y.M. Fing and K. Kubik: Kalman filtering and optimal control strategies for dynamic positioning system. Navigating the Earth and Beyond Proceedings of the National Technical Meeting. VA, USA, (1994), p.901.

Google Scholar

[3] L.X. Wang: Fuzzy systems are universal approximators. Pro IEEE Int Conf Fuzzy System. SanDiego, CA, USA, (1992), p.1163.

Google Scholar

[4] V. Panuska: IEEE Trans Automat Contr, Vol. AC-25 (1980), p.229.

Google Scholar

[5] T.I. Fossen and J.P. Strand: Automatica, Vol. 35 (1999), p.3.

Google Scholar

[6] Y.F. Wang and D.H. Wang: IEEE Transactions on Fuzzy Systems. Vol. 19(4) (2011), p.682.

Google Scholar

[7] T.Y. Chai and S.C. Tong: Fuzzy Sets and Systems. Vol. 103(2) (1999), p.379.

Google Scholar