This paper deals with a nonlinear model predictive control (NMPC) scheme for a winch servo motor to overcome the sudden peak tension in the lifting wire caused by a lumped-mass payload at the beginning of a lifting off or a lowering operation. The crane-wire-payload system is modeled in 3 degrees of freedom with the Newton-Euler approach. Direct multiple shooting and real-time iteration (RTI) scheme are employed to provide feedback control input to the winch servo. Simulations are implemented with MATLAB and CaSADi toolkit. By well tuning the weighting matrices, the NMPC controller can reduce the snatch loads in the lifting wire and the winch loads simultaneously. A comparative study with a PID controller is conducted to verify its performance.
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ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
June 25–30, 2017
Trondheim, Norway
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5777-9
PROCEEDINGS PAPER
Modeling and Control of Crane Overload Protection During Marine Lifting Operation Based on Model Predictive Control
Zhengru Ren,
Zhengru Ren
Norwegian University of Science and Technology, Trondheim, Norway
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Roger Skjetne,
Roger Skjetne
Norwegian University of Science and Technology, Trondheim, Norway
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Zhen Gao
Zhen Gao
Norwegian University of Science and Technology, Trondheim, Norway
Search for other works by this author on:
Zhengru Ren
Norwegian University of Science and Technology, Trondheim, Norway
Roger Skjetne
Norwegian University of Science and Technology, Trondheim, Norway
Zhen Gao
Norwegian University of Science and Technology, Trondheim, Norway
Paper No:
OMAE2017-62003, V009T12A027; 9 pages
Published Online:
September 25, 2017
Citation
Ren, Z, Skjetne, R, & Gao, Z. "Modeling and Control of Crane Overload Protection During Marine Lifting Operation Based on Model Predictive Control." Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium. Trondheim, Norway. June 25–30, 2017. V009T12A027. ASME. https://doi.org/10.1115/OMAE2017-62003
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