Consumption Optimised Manoeuvring Method for Ship Automation
Creators
- 1. University of Applied Sciences Wismar, Department of Maritime Studies, Germany
- 2. University of Rostock, Institute of Automation, Germany
Description
Video abstract: https://youtu.be/e51xfphj4R0
The paper presents a method for gradual automation of ship manoeuvring, focusing on ships already in service. The approach involves the expert knowledge of both nautical officers and ship engineers to optimise the operational behaviour and reduce fuel consumption and emissions. Detailed models of dynamic ship motion and engine processes form the basis of various software tools to assist the manual planning and execution of effective voyages. The results of a study in ship handling simulator show that the manual manoeuvring efficiency of experienced nautical officers has also been significantly increased by these assistance instruments. With regard to automatic shipping, the generated optimal plan is transferred to the automatic control system as a target trajectory. Based on a simplified motion model, the controller structure with feed-forward and feedback modules was developed to realise velocity, heading and track control. Results of controller application in simulator tests with and without wind disturbances are presented. In addition, the paper describes the development of necessary framework conditions for safety-critical areas for the application of automatically controlled manoeuvres in today’s practice with the so-called nautical algorithms according to the research project GALILEOnautic 2.
Files
iSCSS_2020_Paper_2.pdf
Files
(2.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:c5d417e8b4fa5c77a6e648000bf431a4
|
2.2 MB | Preview Download |
Additional details
References
- Alessandri, A., Donnarumma, S., Vignolo, S., Figari, M., Martelli, M., Chiti, R., Sebastiani, L., 2015. System control design of autopilot and speed pilot for a patrol vessel by using lmis, in: Proceedings of 16th international congress of the international maritime association of the mediterranean (IMAM 2015), Pola, Croatia.
- Benedict, K., Kirchhoff, M., Gluch, M., Fischer, S., Schaub, M., Baldauf, M., Klaes, S., 2014. Simulation augmented manoeuvring design and monitoring – a new method for advanced ship handling 8, 131–141.
- Bouman, E., Lindstad, E., Rialland, A., Stromman, A., 2017. State-of-the-art technologies, measures, and potential for reducing ghg emissions from shipping–a review 52, 408–421.
- Finger, G., Schaub, M., Dahms, F., Hassel, E., Riebe, T., Milbradt, G., Wehner, K., 2019. On-Board Support System for the eco-friendly ship operation in coastal and port areas, in: Proceedings of OCEANS 2019, Marseille, France. doi:10.1109/OCEANSE.2019.8867157.
- Finger, G., Schubert, A., Riebe, T., Fischer, S., Gluch, M., Baldauf, M., 2020. Consumption and emission minimised ship manoeuvring, in: Proceedings of OCEANS 2020, Singapore.
- K¨allstr¨om, C.G., 2000. Autopilot and track-keeping algorithms for high-speed craft. Control Engineering Practice 8, 185–190.
- Kurowski, M., Roy, S., Gehrt, J.J., Damerius, R., B¨uskens, C., Abel, D., Jeinsch, T., 2019. Multi-vehicle Guidance, Navigation and Control towards Autonomous Ship Maneuvering in Confined Waters, in: Proceedings of the European Control Conference (ECC19), Naples, Italy. pp. 2559–2564.
- Kurowski, M., Schubert, A., Jeinsch, T., 2017. Generic Control Strategy for Future Autonomous Ship Operations, in: Proceedings of the 16th Conference on Computer and IT Applications in the Maritime Industries (COMPIT), Cardiff, UK. pp. 401–412.
- Kurowski, M., Schubert, A., Jeinsch, T., 2020. Automated maneuvering in confined waters using parameter space model and model-based control, in: Proceedings of IFAC World Congress 2020, Berlin, Germany.
- Miller, A., 2014. Model predictive control of the ship's motion in presence of wind disturbances. Scientific Journals of the Maritime University of Szczecin 39, 107–115.
- Mizuno, N., Kakami, H., Okazaki, T., 2012. Parallel simulation based predictive control scheme with application to approaching control for automatic berthing, in: Proceedings of the 9th IFAC Conference on Manoeuvring and Control of Marine Craft, Arenzano, Italy. pp. 19–24.
- Roberts, G., Sutton, R., Zirilli, A., Tiano, A., 2003. Intelligent ship autopilots––a historical perspective. Mechatronics 13, 1091––1103.
- Schaub, M., Finger, G., Riebe, T., Dahms, F., Hassel, E., Baldauf, M., 2019. Data-based modelling of ship emissions and fuel oil consumption for transient engine operation, in: Proceedings of OCEANS 2019, Marseille, France. doi:10.1109/OCEANSE.2019.8867061.
- Schubert, A., Damerius, R., Fischer, S., Klaes, S., Gluch, M., Kurowski, M., Baldauf, M., Jeinsch, T., 2019. Automatic collision avoidance manoeuvres for surface ships, in: Proceedings of OCEANS 2019, Marseille, France. doi:10.1109/OCEANSE.2019.8867394.
- Schubert, A., Kurowski, M., Gluch, M., Simanski, O., Jeinsch, T., 2018. Manoeuvring Automation towards Autonomous Shipping, in: Proceedings of the 14th International Naval Engineering Conference INEC, International Ship Control Systems Symposium iSCSS, Glasgow, UK. pp. 1–8. doi:DOI:10.24868/issn. 2631-8741.2018.020.
- Sørensen, A., 2011. A survey of dynamic positioning control systems. Annual Reviews in Control 35, 123–136.