Investigation into control strategies for manoeuvring in adverse weather conditions. (15th December 2020)
- Record Type:
- Journal Article
- Title:
- Investigation into control strategies for manoeuvring in adverse weather conditions. (15th December 2020)
- Main Title:
- Investigation into control strategies for manoeuvring in adverse weather conditions
- Authors:
- Aung, Myo Zin
Umeda, Naoya - Abstract:
- Abstract: Manoeuvring in adverse weather conditions has significant challenges for the shipmaster especially when the ship is equipped with the smaller propulsion power. The automatic control methods for safe manoeuvring in severe weather conditions have not been studied extensively since manual control is applied in these conditions. Moreover, in most numerical simulations, PID control is used due to its simplicity. In this paper, the authors discussed the performance of a conventional PID autopilot under large external forces using the numerical simulation of a Handymax bulk carrier in various weather conditions. Then, a path-following control strategy was applied to eliminate the drifting problem found in the conventional PID autopilot alone. Moreover, Optimal Control (OC) based general-purpose trajectory optimization path-planner was proposed for obtaining obstacle-free optimal paths. Finally, the performance of the resulting path-planner-follower is analyzed under different severe weather conditions. A series of early small and precise continuous rudder commands are found to be used to execute the successful collision avoidance maneuver whereas a human operator may use discrete rudder angles with large steps. The head sea course is found to be the safest one in adverse weather conditions compared to the other oblique courses. Highlights: A conventional PID autopilot has a large drifting problem in severe weathers. An integral LOS-PID path-follower could eliminate theAbstract: Manoeuvring in adverse weather conditions has significant challenges for the shipmaster especially when the ship is equipped with the smaller propulsion power. The automatic control methods for safe manoeuvring in severe weather conditions have not been studied extensively since manual control is applied in these conditions. Moreover, in most numerical simulations, PID control is used due to its simplicity. In this paper, the authors discussed the performance of a conventional PID autopilot under large external forces using the numerical simulation of a Handymax bulk carrier in various weather conditions. Then, a path-following control strategy was applied to eliminate the drifting problem found in the conventional PID autopilot alone. Moreover, Optimal Control (OC) based general-purpose trajectory optimization path-planner was proposed for obtaining obstacle-free optimal paths. Finally, the performance of the resulting path-planner-follower is analyzed under different severe weather conditions. A series of early small and precise continuous rudder commands are found to be used to execute the successful collision avoidance maneuver whereas a human operator may use discrete rudder angles with large steps. The head sea course is found to be the safest one in adverse weather conditions compared to the other oblique courses. Highlights: A conventional PID autopilot has a large drifting problem in severe weathers. An integral LOS-PID path-follower could eliminate the large drifting problem. An Offline Optimal Control is used to generate the obstacle-free path or trajectory. Head sea courses are safer in adverse weather compared to the oblige courses. … (more)
- Is Part Of:
- Ocean engineering. Volume 218(2020)
- Journal:
- Ocean engineering
- Issue:
- Volume 218(2020)
- Issue Display:
- Volume 218, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 218
- Issue:
- 2020
- Issue Sort Value:
- 2020-0218-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-15
- Subjects:
- Adverse weather -- PID autopilot -- LOS guidance -- Optimal control -- Path-following -- Path planning
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2020.108170 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15166.xml