Identification of the nonlinear ship model parameters based on the turning test trial and the backstepping procedure

This work presents a novel contribution to solve the problem of identification of ship models parameters using the temporal variation data of the yaw angle achieved from a particular trial test as the turning circle. A relatively complex nonlinear model of Wagner-Smith has been chosen as basis because it represents the ship's dynamics appropriately as proved through the experimental measures obtained in a particular ship. The proposed algorithm of identification of the six ship model parameters is based on the combination of two sub-algorithms: the backstepping procedure and the tuning design method. The simulation results show the suitability of the proposed procedure.

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

[2]  K. Nomoto Directional Steerability of Automatically Steered Ship with Particular Reference to Their Bad Performance in Rough See , 1960 .

[3]  I. Kanellakopoulos,et al.  Systematic Design of Adaptive Controllers for Feedback Linearizable Systems , 1991, 1991 American Control Conference.

[4]  M H Casado,et al.  Surface ship trajectory control using non-linear backstepping design , 2003 .

[5]  M A Abkowitz,et al.  LECTURES ON SHIP HYDRODYNAMICS--STEERING AND MANOEUVRABILITY , 1964 .

[6]  J. D. Paduano,et al.  Rotating stall and surge: alternate modeling and control concepts , 1997, Proceedings of the 1997 IEEE International Conference on Control Applications.

[7]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[8]  Peter A. Darnell,et al.  C: A Software Engineering Approach , 1991, Springer Books on Professional Computing.

[9]  I. Kanellakopoulos,et al.  Adaptive nonlinear control without overparametrization , 1992 .

[10]  Richard M. Murray,et al.  Combined air injection control of rotating stall and bleed valve control of surge , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[11]  Henrik Schiøler,et al.  Proceedings of the 2006 IEEE International Conference on Control Applications , 2006 .

[13]  Riccardo Marino,et al.  Global adaptive output feedback control of induction motors with uncertain rotor resistance , 1999, IEEE Trans. Autom. Control..