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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm
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Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm

机译：基于果蝇优化算法的大型船舶IMU布局优化

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摘要

Accurate attitude information is needed in the deck of large ship, but it is influenced by the deformation of the deck, the deformation will degrade the performance of the ship-board weapons and equipments. Aim at this problem, IMUs which are contain laser gyros and accelerators, are installed in the key battle paint of the deck, applying for the estimation of the deformation, but how many IMUs are needed, and where they should be arranged, is a difficult problem for mankind to solve by hand. In this paper, a new proposed optimization algorithm named fruit fly optimization algorithm (FOA) is utilized to determine the layout of the IMUs, fitness function for the FOA algorithm is organized by the ship's Modal Assurance Criterion (MAC) matrix. Experimental results show that the FOA algorithm can give an optimal layout of the IMUs for detecting the deformation of the deck. (C) 2014 Elsevier GmbH. All rights reserved.
机译：大型舰船甲板上需要准确的姿态信息，但受甲板变形的影响，这种变形会降低舰载武器装备的性能。针对这个问题，将装有激光陀螺仪和加速器的IMU安装在甲板的主要战斗涂料中，申请估计变形，但是很难，需要多少IMU以及将IMU布置在何处人类需要手工解决的问题。本文采用了一种新的提出的优化算法，称为果蝇优化算法（FOA）来确定IMU的布局，FOA算法的适应度函数由船舶的模态保证准则（MAC）矩阵组织。实验结果表明，FOA算法可以为IMU提供最优的布局，以检测甲板的变形。 （C）2014 Elsevier GmbH。版权所有。

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