IMPROVING THE ACCURACY AND RELIABILITY OF AUTOMATIC VESSEL MOUTION CONTROL SYSTEM

Authors

  • S. M. Zinchenko Kherson State Maritime Academy, Ukraine
  • A. P. Ben Kherson State Maritime Academy, Ukraine
  • P. S. Nosov Kherson State Maritime Academy, Ukraine
  • I. S. Popovych Kherson State University, Ukraine
  • P. P. Mamenko Kherson State Maritime Academy, Ukraine
  • V. M. Mateichuk Kherson State Maritime Academy, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2020-2-19

Keywords:

Parry equipment failure, observer, increased accuracy and reliability of control, mathematical model, onboard controller, state vector estimation, sensor, actuator.

Abstract

Context. There were considered the issues of improving the accuracy and reliability of  automatic vessel motion control systems in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators. The object of research is the process of automatic vessel motion control in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators. The subject of research is a method and algorithms for improving the accuracy and reliability of automatic vessel motion control systems in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators.

Objective. The aim of the research is development a method and algorithms for improving the accuracy and reliability of automatic vessel motion control systems in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators.

Method. This goal is achieved by using in onboard controller of the automatic vessel motion control systems an observer to estimation the parameters of the state vector in the linear motion channel by measurements of linear speed and position sensors; estimation the parameters of the state vector in the angular motion channel by measurements of rotational speed and angular position sensors; continuous monitoring of the measured information by comparing it with the obtained estimations; correction estimations in the linear motion channel by measurements of linear speed and position sensors that have passed control; correction estimations in the angular motion channel by measurements of rotational speed and angular position sensors that have passed control; formation of a sensor failure in the linear motion channel (linear speed sensor or position sensor), if its measurements differ from the corresponding estimations for a greater than permissible value, to parry the failure in the linear motion channel by disconnecting the failed sensor from the observer and further estimation according to another sensor working in pairs; formation of a sensor failure in the angular motion channel (rotation speed sensor or angular position sensor), if its measurements differ from the corresponding estimations for a greater than permissible value, to parry the failure in the angular motion channel by disconnecting the failed sensor from the observer and further estimation according to another sensor working in pair; formation of an actuators failure in the linear motion channel (engine, automation or other device) if a simultaneous or sequential failure of both sensors were detected – linear speed sensor and position sensor, actuator failure alarm in the linear motion channel; formation of an actuators failure in the angular motion channel (rudders, drives, other devices) if a simultaneous or sequential failure of both sensors were detected  – rotation speed sensor and angular position sensor, actuator failure alarm in the angular motion channel. This method and algorithms make it possible to improve the accuracy and reliability of automatic vessel motion control processes in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators. 

Results. The proposed method and algorithms for improving the accuracy and reliability of  automatic vessel motion control systems in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators were verified by mathematical modeling in the MATLAB environment of the control object movement in a closed circuit with a control system for various types of vessels, navigation areas, weather conditions and cases of large deviations in sensors measurements during maneuvering and failures of sensors and actuators. 

Conclusions. The results of mathematical modeling confirmed the efficiency of the developed method and algorithms and allow to recommend them for practical use in the development of mathematical support for automatic vessel motion control systems in conditions of large deviations in sensors measurements during maneuvering and failures of sensors and actuators. 

Author Biographies

S. M. Zinchenko, Kherson State Maritime Academy

PhD, Senior Lecturer of Ship Handling Department, Head of the Electronic Simulators Laboratory

A. P. Ben, Kherson State Maritime Academy

PhD, Professor of Navigation and Electronic Navigation Systems Department, Vice-rector for scientific and pedagogical work

P. S. Nosov, Kherson State Maritime Academy

PhD, Associate Professor of  Navigation Systems Department

I. S. Popovych, Kherson State University

Doctor of Psychological Sciences, Professor of General and Social Psychology Department

P. P. Mamenko, Kherson State Maritime Academy

Senior Lecturer of Ship Handling Department , deep sea captain

V. M. Mateichuk, Kherson State Maritime Academy

Senior Lecturer of Ship Handling Department, Head of the Electronic Simulators Laboratory

References

Apostol-Mates R., Barbu A. Human error – the main factor in marine accidents, Naval Academy Scientific Bulletin, 2016, Vol. 19, Issue 2. DOI: 10.21279/1454-864X-16-I2-068

Sotiralis P. N. Ventikos P., Hamann R., Golyshev P., Teixeira A. P. Incorporation of human factors into ship collision risk models focusing on human centred design aspects, Reliability Engineering & System Safety. – 2016. – Vol. – 156. – P. 210– 227. DOI: 10.1016/j.ress.2016.08.007

Luo M., Shin S. Half-century research developments in maritime accidents: Future directions, Accident Analysis & Prevention, 2019, Vol. 123, pp. 448–460. DOI: 10.1016/j.aap.2016.04.010

Popovych I. S., Blynova O. Ye, Aleksieieva M. I., Nosov P. S., Zavatska N. Ye., Smyrnova O. O. Research of Relationship between the Social Expectations and Professional Training of Lyceum Students studying in the Field of Shipbuilding, Revista Espacios, 2019, Vol. 40, Issue 33, pp. 21–34.

Popovych I. Psychology of Social Expectations of Personality: Methodology, Theory and Practice [Electronic resource], Revista ESPACIOS, 2019, Vol. 40(33), P. 21. Access mode: https://www.revistaespacios.com/a19v40n33/19403321.html

Nosov P. S., Ben A. P., Mateіchuk V. N., Safonov M. S. Identification of “Human error” negative manifestation in maritime transport, Radio Electronics, Computer Science, Control, 2018, Vol. 4 (47), pp. 204–213. DOI: 10.15588/1607-3274-2018-4-20

Nosov P., Ben A., Safonova A., Palamarchuk I. Approaches going to determination periods of the human factor of navigators during supernumerary situations, Radio Electronics, Computer Science, Control, 2019, Vol. 2(49), pp. 140–150. DOI: 10.15588/1607-3274-2019-2-15

Zinchenko S. M., Nosov P. S., Mateichuk V. M., Mamenko P. P., Grosheva O. O. Automatic collision avoidance with many targets, including maneuvering ones, Radio Electronics, Computer Science, Control, 2019, Vol. 4, pp. 211 – 222. DOI: 10.15588/1607-3274-2019-4-20

Zinchenko S., Nosov P., Mateichuk V., Mamenko P., Grosheva O. Automatic collision avoidance with many targets, including maneuvering ones, The International scientific and practical conference dedicated to the memory of professor Fomin Y. Y. and Semenov V. S. (FS-2019). Odessa – Istanbul – Odessa, 24– 28 April, 2019, proceedings, ONMU, 2019, pp. 343–349.

Xiong J., Shu L., Wang Q., Xu W., Zhu Ch. A Scheme on Indoor Tracking of Ship Dynamic Positioning Based on Distributed Multi-Sensor Data Fusion, IEEE Access, 2016, Vol. 5, pp. 379–392. DOI: 10.1109/ACCESS.2016.2607232

Fossen T. I., Perez T. Kalman filtering for positioning and heading control of ships and offshore rigs, IEEE Control Systems Magazine, 2009, Vol. 29, Issue 6, pp. 32–46. DOI: 10.1109/MCS.2009.934408

Nielsen U. D., Jensen J. A novel approach for navigational guidance of ships using onboard monitoring systems, Ocean Engineering, 2011,Vol. 38, Issues 2–3, pp. 444–455. DOI: 10.1016/j.oceaneng.2010.11.024

Peng X., Zhang B., Rong L. Ship motion prediction of combination forecasting model based on adaptive variable weight, 34th Chinese Control Conference (CCC), 28–30 July, 2015: proceedings. Hangozhou, China (Lecture Notes in IEEE Xplore, 2015). DOI: 10.1109/ChiCC.2015.7260259

Luo W., Zou Z. Blind Prediction of Ship Maneuvering by Using Support Vector Machines, 29th International Conference on Ocean, Offshore and Arctic Engineering (ASME 2010), 6–11 June, 2010: proceeding. Shanghai, Chaina (Lecture Notes in American Society of Mechanical Engineers, 2010, pp. 437– 443). DOI: 10.1115/OMAE2010-20723

Wu X., Gao X. Maneuverability prediction for a ship with fullrevolving twin propellers, Chinese Journal of Ship Research, 2017, Vol. 12, Issue 1, DOI: 10.3969/j.issn.16733185.2017.01.005

Chen Y. M., Lee M. L. Neural networks-based scheme for system failure detection and diagnosis, Mathematics and Computers in Simulation, 2002, Vol. 58, Issue 2, pp. 101–109. DOI: 10.1016/S0378-4754(01)00330-5

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How to Cite

Zinchenko, S. M., Ben, A. P., Nosov, P. S., Popovych, I. S., Mamenko, P. P., & Mateichuk, V. M. (2020). IMPROVING THE ACCURACY AND RELIABILITY OF AUTOMATIC VESSEL MOUTION CONTROL SYSTEM. Radio Electronics, Computer Science, Control, (2), 183–195. https://doi.org/10.15588/1607-3274-2020-2-19

Issue

Section

Control in technical systems