Abstract
Genetic Algorithm is applied to thrust allocation of semi-submersible platform dynamic positioning system. To guarantee propeller爷s physical performance, thrust change and propeller thrust angle change as parameters are adopted to build an optimal model which is based on minimizing energy consumption. To avoid the thrust loss due to the propeller's affection, traditional thrust forbidden zone is improved. Considering thrust loss model, all propellers are divided into groups and each propeller's thrust angle is partitioned. Then the downstream propeller's thrust feasible region is set, which is determined by the upstream propeller's thrust angle. The numerical model indicates that GA can be used to handle complex boundary condition, and dynamical thrust angle feasible region is helpful to minimize thrust loss, reduce energy consumption and increase maneuverability.
| Translated title of the contribution | Dynamic positioning system thrust allocation of semi-submersible platform based on dynamical constraint allocation method |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1224-1232 |
| Number of pages | 9 |
| Journal | Chuan Bo Li Xue/Journal of Ship Mechanics |
| Volume | 22 |
| Issue number | 10 |
| DOIs | |
| State | Published - 1 Oct 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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