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Open AccessConcept Paper

Fuel-Optimal Thrust-Allocation Algorithm Using Penalty Optimization Programing for Dynamic-Positioning-Controlled Offshore Platforms

by 1,* and 2
1
Daewoo Shipbuilding and Marine Engineering Co., LTD., 125, Namdaemun-ro, Jung-gu, Seoul 04521, Korea
2
Ocean Engineering, Texas A&M University, College Station, TX 77843, USA
*
Author to whom correspondence should be addressed.
Energies 2018, 11(8), 2128; https://doi.org/10.3390/en11082128
Received: 12 July 2018 / Revised: 8 August 2018 / Accepted: 9 August 2018 / Published: 15 August 2018
This research, a new thrust-allocation algorithm based on penalty programming is developed to minimize the fuel consumption of offshore vessels/platforms with dynamic positioning system. The role of thrust allocation is to produce thruster commands satisfying required forces and moments for position-keeping, while fulfilling mechanical constraints of the control system. The developed thrust-allocation algorithm is mathematically formulated as an optimization problem for the given objects and constraints of a dynamic positioning system. Penalty programming can solve the optimization problems that have nonlinear object functions and constraints. The developed penalty-programming thrust-allocation method is implemented in the fully-coupled vessel–riser–mooring time-domain simulation code with dynamic positioning control. Its position-keeping and fuel-saving performance is evaluated by comparing with other conventional methods, such as pseudo-inverse, quadratic-programming, and genetic-algorithm methods. In this regard, the fully-coupled time-domain simulation method is applied to a turret-moored dynamic positioning assisted FPSO (floating production storage offloading). The optimal performance of the penalty programming in minimizing fuel consumption in both 100-year and 1-year storm conditions is demonstrated compared to pseudo-inverse and quadratic-programming methods. View Full-Text
Keywords: dynamic positioning; thrust allocation; turret-moored FPSO; penalty programming; optimization; pseudo-inverse; quadratic-programming; fuel consumption; genetic algorithm; thruster arrangement dynamic positioning; thrust allocation; turret-moored FPSO; penalty programming; optimization; pseudo-inverse; quadratic-programming; fuel consumption; genetic algorithm; thruster arrangement
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Kim, S.W.; Kim, M.H. Fuel-Optimal Thrust-Allocation Algorithm Using Penalty Optimization Programing for Dynamic-Positioning-Controlled Offshore Platforms. Energies 2018, 11, 2128.

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