Energy-Optimized Path Planning for Autonomous Ferries. Issue 29 (2018)
- Record Type:
- Journal Article
- Title:
- Energy-Optimized Path Planning for Autonomous Ferries. Issue 29 (2018)
- Main Title:
- Energy-Optimized Path Planning for Autonomous Ferries
- Authors:
- Bitar, Glenn
Breivik, Morten
Lekkas, Anastasios M. - Abstract:
- Abstract: The topic of energy-optimized path planning using pseudospectral optimal control is considered. An optimal control problem (OCP) is formulated to produce an energy-optimized path between two points among static obstacles. A nonlinear 3-degree-of-freedom underactuated ship model is considered in the OCP with an energy-based cost function. The ship model is affected by external disturbances in the form of ocean currents. The OCP is solved using a pseudospectral method, which has proven successful in real-world applications. Additionally, the method is not as sensitive to dimensionality compared to Hamilton-Jacobi-Bellman methods. Position and speed information from the OCP solution is used in a closed-loop simulation with a guidance controller to show feasibility of the path. The simulation results show that the path is feasible, and that including ocean-current information in the path planning significantly reduces energy consumption. The paper also gives a short overview and classification of alternative path-planning methods. Finally, a proposal for how the path planner fits in a complete motion-control architecture is provided.
- Is Part Of:
- IFAC-PapersOnLine. Volume 51:Issue 29(2018)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 51:Issue 29(2018)
- Issue Display:
- Volume 51, Issue 29 (2018)
- Year:
- 2018
- Volume:
- 51
- Issue:
- 29
- Issue Sort Value:
- 2018-0051-0029-0000
- Page Start:
- 389
- Page End:
- 394
- Publication Date:
- 2018
- Subjects:
- Path planning -- energy optimization -- autonomous ships -- optimal control
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2018.09.456 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7993.xml