Fuzzy Sliding Mode Control For Ship Roll Stabilization

A fuzzy sliding mode controller is proposed in this study for ship roll stabilization. Ship dynamic models usually contain large uncertainty. Sliding mode control is well known for its good robustness to large uncertainty. However, the required uncertainty bound is usually difficult to estimate. A fuzzy logic is designed here for the upper bound estimation of the uncertainty coming mostly from the wave excitation. As a result, the uncertainty‐related parameters in the sliding mode controller are automatically tuned by fuzzy logic according to the encountered wave amplitude. The present controller has the advantage that smaller control efforts are required for the anti‐capsizing purpose under the same sea states. A numerical example is investigated to confirm the analysis.

[1]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[2]  Edward V. Lewis,et al.  Principles of naval architecture , 1988 .

[3]  S. Bennett Ship Stabilization: History , 1991 .

[4]  J. van Amerongen Ship rudder roll stabilization , 1991 .

[5]  J. Thompson,et al.  Mechanics of ship capsize under direct and parametric wave excitation , 1992, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[6]  L. Wang,et al.  Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[7]  S. Hsieh,et al.  A nonlinear probabilistic method for predicting vessel capsizing in random beam seas , 1994, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[8]  Rainer Palm,et al.  Robust control by fuzzy sliding mode , 1994, Autom..

[9]  Toly Chen,et al.  A fuzzy sliding mode controller for induction motor position control , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[10]  Jian-Shiang Chen,et al.  A self-organizing fuzzy sliding-mode controller design for a class of nonlinear servo systems , 1994, IEEE Trans. Ind. Electron..

[11]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[12]  E. Ott,et al.  Controlling chaos in a temporally irregular environment , 1994 .

[13]  Sung-Woo Kim,et al.  Design of a fuzzy controller with fuzzy sliding surface , 1995 .

[14]  Juan Luis Castro,et al.  Fuzzy logic controllers are universal approximators , 1995, IEEE Trans. Syst. Man Cybern..

[15]  Li-Chen Fu,et al.  Nonlinear control of robot manipulators using adaptive fuzzy sliding mode control , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[16]  Changben Jiang,et al.  Highly nonlinear rolling motion leading to capsize. , 1995 .

[17]  Giovanni Muscato,et al.  A roll stabilization system for a monohull ship: modeling, identification, and adaptive control , 1996, IEEE Trans. Control. Syst. Technol..

[18]  Armin W. Troesch,et al.  HIGHLY NONLINEAR ROLLING MOTION OF BIASED SHIPS IN RANDOM BEAM SEAS , 1996 .

[19]  J. Y. Cheung,et al.  Design of a stable and robust fuzzy controller for a class of nonlinear system , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[20]  Dr. Rainer Palm,et al.  Model Based Fuzzy Control , 1997, Springer Berlin Heidelberg.

[21]  Zhihong Man,et al.  Design of fuzzy sliding-mode control systems , 1998, Fuzzy Sets Syst..

[22]  Faa-Jeng Lin,et al.  Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives , 1998 .

[23]  Woonchul Ham,et al.  Adaptive fuzzy sliding mode control of nonlinear system , 1998, IEEE Trans. Fuzzy Syst..

[24]  Armin W. Troesch,et al.  A systematic approach to modeling nonlinear multi-DOF ship motions in regular seas , 1999 .

[25]  Hassan K. Khalil,et al.  Robust stabilization of large amplitude ship rolling in beam seas , 2000 .