Roll Damping and Anti-Capsizing System for Ships Using Fuzzy-Extension Control Strategy

Abstract:

Rolling is an undesirable motion for ships. Large amplitude rolling can easily lead to capsize which will cause the loss of life and property. This paper proposes a fuzzy-extension control strategy for ship roll damping and anti-capsizing system. Fuzzy control strategy is studied in the classical domain for rudder roll stabilization to solve uncertainties in quantitative change and gradual change resulting from the change of ship model parameters so as to improve control performance. Moreover, the real-time tuning algorithm is presented to tune the fuzzy rules. Extension control strategy is studied in extension domain to solve the uncertainties in non-gradual change arising from the wave so as to extend anti-capsizing control sphere. Every control strategy can realize effective control within the scope of control.The two intelligence control methods are combined to increase the level of intelligence of system. This paper carries out the simulation under various situations such as different navigation speed, sea conditions, encounter angle and ship parameter perturbation, to test the roll reduction and robustness of the roll controller designed.

• Periodical: Applied Mechanics and Materials (Volumes 84-85)
• Pages: 144-154
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.84-85.144
• Online since: August 2011
• Authors: Ming Hui Wang, Yong Quan Yu, Bi Zeng
• Keywords: Anti-Capsizing Control, Extension Control, Fuzzy Control, Fuzzy-Extension Controller, Rudder Roll Damping Control

References

[1] Van Amerongen, J: Ship Rudder-Roll Stabilization, In Concise Encyclopedia of Traffic and Transportation Systems, M. Papageorgiou Ed., Pergamon Press, (1991). pp.448-454.

DOI: 10.1016/b978-0-08-036203-8.50094-8

[2] Blanke and Jensen: M. Blanke and A. G. Jensen: Dynamic Properties of Container Vessel with Low Metacentric Height, Transactions of The Institution of Measurement and Control. Vol. 19, No. 2, (1997), pp.78-93.

DOI: 10.1177/014233129701900203

[3] Oda, Ohtsu and Hotta: H. Oda, K. Ohtsu and T. Hotta, Statistical Analysis and Design of Rudder Roll Stabilization System, The Proc. of The 3rd IFAC Workshop on Control Applications in Marine Systems, Trondheim, Norway. (1995), pp.194-201.

DOI: 10.1016/s1474-6670(17)51671-7

[4] Stoustrup, Niemann and Blanke: J. Stoustrup, H. H. Niemann and M. Blanke. A Multi Objective Solution to The Rudder Roll Damping Problem, Control Applications In Marine Systems, Trondheim, Norway. (1995), pp.238-246.

DOI: 10.1016/s1474-6670(17)51677-8

[5] Seo, Ki-Yeol, Park, Gyei-Kark; Lee: Chang-Shing: Ontology-based fuzzy support agent for ship steering control , Expert Systems with Applications36(1) (2009) , pp.755-765.

DOI: 10.1016/j.eswa.2007.10.011

[6] Rajesh, G, Giri Rajasekhar, G. : System identification for nonlinear maneuvering of ships using neural network, Journal of Ship Research 54(1), (2010), pp.1-14.

DOI: 10.5957/jsr.2010.54.1.1

[7] Ding, M., E. Ott, and C. Grebogi: Controlling Chaos in a Temporally Irregular Environment, Physica D, Vol. 74, (1994), pp.386-394.

DOI: 10.1016/0167-2789(94)90202-x

[8] Chen Jenyang and Wong Chingchang: Extension Controller Design via Sliding Mode Control, Engineering Science, Vol. 3, No. 9, (2001), pp.48-51.

[9] Xu Shunxi and Wang Xingyu: Extension Control Model of Function Integration in CIPS, System Engineering Theory and its Implement, No. 2, (2008), pp.110-113.

[10] Wong Chingchang and Chen Jenyang: Adaptive Extension Controller Design for Nonlinear Systems , Engineering Science. Vol. 3, No. 7, (2001), pp.54-58.

[11] Zhang Yong, Wu Xiaobei, Xu Zhiliang and Huang Hui: Extension Control Method in a Kind of Multivariable Self correcting System, Journal of Nanjing University of Science and Technology, Vol. 26, No. 5, (2002), pp.486-498.

[12] Blanke and Jensen: M. Blanke and A. G. Jensen: Dynamic Properties of Container Vessel with Low Metacentric Height, Transactions of The Institution of Measurement and Control. Vol. 19, No. 2, (1997)pp.78-93.

DOI: 10.1177/014233129701900203

[13] Amerongen, J.V., Van der Klugt, P.G.M., Pieffers, J.B.M.: Rudder roll stabilization controller design and experimental results, IEEE Control System v 16, n 1, (2007), pp.1120-1142.

DOI: 10.23919/acc.1986.4788942