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A Thrust Allocation Method for Efficient Dynamic Positioning of a Semisubmersible Drilling Rig Based on the Hybrid Optimization Algorithm

机译:基于混合优化算法的半潜式钻机有效动力定位的推力分配方法

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A thrust allocation method was proposed based on a hybrid optimization algorithm to efficiently and dynamically position a semisubmersible drilling rig. That is, the thrust allocation was optimized to produce the generalized forces and moment required while at the same time minimizing the total power consumption under the premise that forbidden zones should be taken into account. An optimization problem was mathematically formulated to provide the optimal thrust allocation by introducing the corresponding design variables, objective function, and constraints. A hybrid optimization algorithm consisting of a genetic algorithm and a sequential quadratic programming (SQP) algorithm was selected and used to solve this problem. The proposed method was evaluated by applying it to a thrust allocation problem for a semisubmersible drilling rig. The results indicate that the proposed method can be used as part of a cost-effective strategy for thrust allocation of the rig.
机译:提出了一种基于混合优化算法的推力分配方法,以有效,动态地定位半潜式钻机。也就是说,在应考虑禁区的前提下,优化了推力分配以产生所需的广义力和力矩,同时使总功耗最小。通过引入相应的设计变量,目标函数和约束条件,以数学方式提出了一个优化问题,以提供最佳推力分配。选择了一种由遗传算法和顺序二次规划(SQP)算法组成的混合优化算法,并将其用于解决该问题。通过将该方法应用于半潜式钻机的推力分配问题进行了评估。结果表明,所提出的方法可以用作钻机推力分配的经济有效策略的一部分。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|183705.1-183705.12|共12页
  • 作者

    Zhao Luman; Roh Myung-Il;

  • 作者单位

    Seoul Natl Univ, Dept Naval Architecture & Ocean Engn, Seoul 08826, South Korea.;

    Seoul Natl Univ, Res Inst Marine Syst Engn, Dept Naval Architecture & Ocean Engn, Seoul 08826, South Korea.;

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