TY - GEN
T1 - Model Predictive Control for the Reduction of Marine Propellers Vibrations
AU - Ahumada, Constanza
AU - Tarisciotti, Luca
AU - Sepúlveda, Diego
AU - Sáez, Doris
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In recent years, hybrid marine vessels are gaining importance for their capability of reducing CO2 emissions. In these vessels, the use of electric propulsion, in which the electrical energy is provided through an electric grid, allows 35% of fuel savings. However, to reduce the weight of the propulsion system, the shaft connections in the overall system are often very flexible, allowing vibrations to be excited. Torsional vibrations can be excited by sea perturbations such as ventilation, damaging the propeller or reducing its life. This paper studies the excitation of torsional vibrations and proposes a Model Predictive Control (MPC) strategy to reduce them. For this, a simplified model of marine vessel propellers is considered and the MPC strategy is applied and analysed for different sources of vibrations. The proposed strategy is also analysed under different uncertainty scenarios and for different input variables. The results show that the proposed MPC reduces the torsional vibrations while maintaining the same speed control characteristics.
AB - In recent years, hybrid marine vessels are gaining importance for their capability of reducing CO2 emissions. In these vessels, the use of electric propulsion, in which the electrical energy is provided through an electric grid, allows 35% of fuel savings. However, to reduce the weight of the propulsion system, the shaft connections in the overall system are often very flexible, allowing vibrations to be excited. Torsional vibrations can be excited by sea perturbations such as ventilation, damaging the propeller or reducing its life. This paper studies the excitation of torsional vibrations and proposes a Model Predictive Control (MPC) strategy to reduce them. For this, a simplified model of marine vessel propellers is considered and the MPC strategy is applied and analysed for different sources of vibrations. The proposed strategy is also analysed under different uncertainty scenarios and for different input variables. The results show that the proposed MPC reduces the torsional vibrations while maintaining the same speed control characteristics.
KW - Marine Propulsor
KW - Model Predictive Control
KW - Predictive Control
KW - Vibrations
UR - http://www.scopus.com/inward/record.url?scp=85144033951&partnerID=8YFLogxK
U2 - 10.1109/ECCE50734.2022.9947717
DO - 10.1109/ECCE50734.2022.9947717
M3 - Conference contribution
AN - SCOPUS:85144033951
T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Y2 - 9 October 2022 through 13 October 2022
ER -