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基于遗传算法的半潜式平台动力定位系统动态约束可行域推力分配法

Translated title of the contribution: Dynamic positioning system thrust allocation of semi-submersible platform based on dynamical constraint allocation method
  • Hai Zhi Liang
  • , Dong Sheng Qiao*
  • , Lu Yu Li
  • , Ji Gang Zhang
  • , Jin Ping Ou
  • *Corresponding author for this work
  • Dalian University of Technology
  • Qingdao University of Technology

Research output: Contribution to journalArticlepeer-review

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 contributionDynamic positioning system thrust allocation of semi-submersible platform based on dynamical constraint allocation method
Original languageChinese (Traditional)
Pages (from-to)1224-1232
Number of pages9
JournalChuan Bo Li Xue/Journal of Ship Mechanics
Volume22
Issue number10
DOIs
StatePublished - 1 Oct 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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