Dynamic Positioning System for a Ship on Harbour Manoeuvring with Different Observers. Experimental Results

Abstract In cases when the navigational space of the manoeuvre performed by the ship is severely limited, the procedures making use of the rudder blade, propeller screw, and thrusters are very complicated. Such situations take place when the ship manoeuvres inside the harbour area and in those cases the structure of the control system is very complex. Te article describes the algorithm of multivariable control of ship motion over the water surface, which makes use of the state vector consisting of 6 variables. Tree of them, which are the position coordinates (x, y) measured by the DGPS system and the ship heading y measured by gyro-compass, were obtained experimentally. Te three remaining variables, which are the velocities in surge u, sway v, and yaw r directions, were estimated by Kalman filter, Kalman-Bucy filter and extended Kalman flter, respectively. The control algorithms making use of these observers were examined using the training ship “Blue Lady” which was navigated on the lake Silm in Ilawa/Kamionka in the Ship Handling Research and Training Centre owned by the Foundation for Safety of Navigation and Environment Protection. Te experimental results obtained using control systems with three observers were finally compared between each other.

[1]  Mirosław Tomera Nonlinear observers design for multivariable ship motion control , 2012 .

[2]  Andrzej Rak,et al.  Maneuvering control and trajectory tracking of very large crude carrier , 2007 .

[3]  Yao Zhang,et al.  A neural network approach to ship track-keeping control , 1996 .

[4]  Ebru Narli,et al.  Assessment of manoeuvring performance of large tankers in restricted waterways: a real-time simulation approach , 2003 .

[5]  M. Cuénod Ed. Gerecke 1899-1983 , 1984, Autom..

[6]  Roger Skjetne,et al.  A Nonlinear Ship Manoeuvering Model: Identification and adaptive control with experiments for a model ship , 2004 .

[7]  Robert Grover Brown,et al.  Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions , 1996 .

[8]  Leigh McCue,et al.  Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf] , 2016, IEEE Control Systems.

[9]  Thor I. Fossen,et al.  Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .

[10]  Jerzy Pejaś,et al.  Adaptive Control System for Steering the Ship Along the Desired Trajectory - Based on The Optimal Control and Filtering Theory , 1992 .

[11]  Witold Gierusz,et al.  Simulation Model of the Shiphandling Training Boat "Blue Lady" , 2001 .

[12]  Yao Zhang,et al.  A multivariable neural controller for automatic ship berthing , 1997 .

[13]  L Morawski,et al.  Ship Control in Manoeuvring Situations with Fuzzy Logic Controllers , 2008 .

[14]  Kwon Soon Lee,et al.  A ship berthing system design with four tug boats , 2011 .

[15]  Zoran Vukic,et al.  Improved fuzzy autopilot for track-keeping , 1998 .

[16]  L Morawski,et al.  Problem of Stopping Vessel at the Waypoint for Full-Mission Control Autopilot , 2010 .

[17]  H. R. van Nauta Lemke,et al.  Recent Developments in Automatic Steering of Ships , 1986, Journal of Navigation.

[18]  Michael J. Grimble,et al.  Robust Track Keeping Control , 1992 .

[19]  Kohei Ohtsu,et al.  Minimum Time Maneuvering of Ship with Wind Disturbances , 1995 .

[20]  J. Pomirski,et al.  Control system for trials on material ship model , 2012 .

[21]  H. Strauch,et al.  A Commercial Adaptive Autopilot for Ships: Design and Operational Experiences , 1987 .

[22]  Zoran Vukic,et al.  Adaptive Fuzzy Ship Autopilot for Track-Keeping , 2000 .

[23]  Gyoung-Woo Lee,et al.  Algorithms to control the moving ship during harbour entry , 2009 .

[24]  Daniele Bertin Track-Keeping Controller for a Precision Manoeuvring Autopilot , 1998 .

[25]  Radoslav Nabergoj,et al.  Identification of hydrodynamic coefficients for manoeuvring simulation model of a fishing vessel , 2010 .

[26]  Kohei Ohtsu,et al.  A Study of Minimum Time Berthing Solutions , 2000 .

[27]  Karl-Petter Lindegaard,et al.  Acceleration Feedback in Dynamic Positioning , 2003 .

[28]  Kohei Ohtsu,et al.  An Automatic Berthing Study by Optimal Control Techniques , 1992 .

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

[30]  Thor I. Fossen,et al.  Handbook of Marine Craft Hydrodynamics and Motion Control: Fossen/Handbook of Marine Craft Hydrodynamics and Motion Control , 2011 .

[31]  Mirosław Tomera Dynamic positioning system design for “blue lady”. simulation tests , 2012 .

[32]  N Im,et al.  An Application of ANN to Automatic Ship Berthing Using Selective Controller , 2007 .

[33]  M Tomera Kalman-Bucy Filter Design for Multivariable Ship Motion Control , 2011 .

[34]  Eugeniusz Ranatowski The influence of the constraint effect on the mechanical properties and weldability of the mismatched weld joints , 2012 .

[35]  T. Onshus,et al.  Design Considerations, Analysis and Practical Experience with an Adaptive Ship's Autopilot , 1984 .

[36]  T. Holzhüter,et al.  LQG approach for the high-precision track control of ships , 1997 .

[37]  Roger Skjetne,et al.  Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory , 2005, Autom..

[38]  Job van Amerongen,et al.  Adaptive steering of ships - A model reference approach , 1982, Autom..

[39]  X R Lu,et al.  DESIGN OF A SELF-TUNING ADAPTIVE TRACK-KEEPING CONTROL SYSTEM FOR SHIPS , 1990 .

[40]  Elías Revestido Herrero,et al.  Two-step identification of non-linear manoeuvring models of marine vessels , 2012 .