Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm

Dai, Hongde; Liu, Aili; Lu, Jianhua; Dai, Shaowu; Wu, Xiao-nan; Sun, Yuyu

doi:10.1016/j.ijleo.2014.08.037

Cited by 17 publications

(4 citation statements)

References 9 publications

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“…This work has attracted worldwide attention, Shortelle 5 reported the application of this rapid TA method in the F-16, and verified the effectiveness of this method through actual flight tests. in addition, the authors also studied the rapid TA problem of the SINS 7, 24,25 . In this section, the concept and implementation procedure of TA are introduced first, and then followed by the system model and the measurement model, based on these, measurement packet dropping is described in mathematical.…”

Section: Problem Statement About the Transfer Alignment With Measuremmentioning

confidence: 99%

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Dai

Tang³

et al. 2019

Def. Sc. Jl.

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Transfer alignment (TA) is an important step for strapdown inertial navigation system (SINS) starting from a moving base, which utilises the information proposed from the higher accurate and well performed master inertial navigation system. But the information is often delayed or even lost in real application, which will seriously affect the accuracy of TA. This paper models the stochastic measurement packet dropping as an independent identically distributed (IID) Bernoulli random process, and introduces it into the measurement equation of rapid TA, and the influence of measurement packet dropping is analysed. Then, it presents a suboptimal estimator for the estimation of the misalignment in TA considering the random arrival of the measurement packet. Simulation has been done for the performance comparison about the suboptimal estimator, standard Kalman filter and minimum mean squared estimator. The results show that the suboptimal estimator has better performance, which can achieve the best TA accuracy. 7. dai, h.; dai, S.; Cong, y.; Zhao, g. & wu, g. Rapid transfer alignment of laser sins using quaternion based angular measurement.

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Section: Problem Statement About the Transfer Alignment With Measuremmentioning

confidence: 99%

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Dai

Tang³

et al. 2019

Def. Sc. Jl.

Self Cite

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“…The number and location of the measurement points primarily determine the inspection efficiency [27]. In practice, engineers usually employ the minimum number of measurement points to improve detection efficiency while meeting the requirements of accuracy and comprehensiveness.…”

Section: Introductionmentioning

confidence: 99%

Scanning Scheme for Underwater High-Rise Pile Cap Foundation Based on Imaging Sonar

2023

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This study developed a sonar scanning scheme for underwater high-rise pile cap foundations (HRPCFs) to improve the efficiency of bridge inspection and prolong structural durability. First, two key factors in the measurement point arrangement that significantly affect the accuracy of sonar measurement—the appropriate range of measurement distance and the pitch angle—were determined experimentally. Subsequently, an assembled platform was designed to firmly hold the sonar and conveniently move it under strong currents to effectively provide clear images of the pile. A strategy was developed to determine the appropriate number and horizontal and vertical positions of the measurement points around each pile in the pile group, particularly to avoid the obstruction of signal propagation caused by adjacent piles and pile caps. The method was applied to the scanning of an underwater high-rise pile cap foundation of a bridge, and the results showed that the scanning ranges of the imaging sonar at all arranged measurement points were not affected by adjacent piles. The imaging sonar carried by the proposed platform could obtain clear images stably at a water speed of ~2.0 m/s and obtain all surface data of the pile quickly and completely.

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“…Therefore, it is necessary to consider the arrangement optimization of the distributed POS, such that the high precision motion parameters of all loads can be obtained using the minimum sub-IMUs. And the arrangement optimization also requires the attitude transformation between each node [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Deformation Measuring Methods Based on Inertial Sensors for Airborne Distributed POS

Gong

Liu

Yan

2017

International Journal of Aerospace Engineering

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This paper is focused on deformation measuring methods based on inertial sensors, which are used to achieve high accuracy motion parameters and the spatial distribution optimization of multiple slave systems in the airborne distributed Position and Orientation System or other purposes. In practical application, the installation difficulty, cost, and accuracy of measuring equipment are the key factors that need to be considered synthetically. Motivated by these, deformation measuring methods based on gyros and accelerometers are proposed, respectively, and compared with the traditional method based on the inertial measurement unit (IMU). The mathematical models of these proposed methods are built, and the detailed derivations of them are given. Based on the Kalman filtering estimation, simulation and semiphysical simulation based on vehicle experiment show that the method based on gyros can obtain a similar estimation accuracy to the method based on IMU, and the method based on accelerometers has an advantage in y-axis deformation estimation.

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Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm

Cited by 17 publications

References 9 publications

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Scanning Scheme for Underwater High-Rise Pile Cap Foundation Based on Imaging Sonar

Deformation Measuring Methods Based on Inertial Sensors for Airborne Distributed POS

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