Raft attitude control and elastic deformation suppression technique for large-scale floating raft air spring mounting system

Qiu, Yuanran; Xu, Wei; Bu, Wenjun; Wenzheng, Qin

doi:10.1177/10775463211038830

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…Floating raft ship structure encountered external disturbances, it is easier to produce elastic deformation. Consequently, Qiu et al [9] established a flexible raft control response model based on the finite element, and its pressure parameters to identify to inhibit its elastic deformation results. The results showed that the method can effectively improve the control accuracy of the raft plate and reduce the deformation.…”

Section: Review Of Literaturementioning

confidence: 99%

Fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

Li,

Wang,

Wang

et al. 2024

J. vibroeng.

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The detached raft automatic frequency isolation system is a complicated system with high exceptionally nonlinear, high electromagnetic, and multi-source vibration modes. However, it generates a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as an astute control method, can give a keen path to the active management of a complicated system of floating rafts. This study uses a system identification approach to construct mathematical models for a floating raft active vibration isolation system with discrete transfer work. The fuzzy model is used in tests and simulations controller is built using two contributions of acceleration and its variation, as well as a single result of control voltage. The control isolation system is a complicated system with many moving parts. A lot of moving parts profoundly nonlinear, high electromagnetic and multi-source vibration modes, generating a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as a smart control method, can give a keen path to the active management of a sophisticated floating raft system. This research uses an identification strategy to construct a floating raft active vibration isolation technology discrete transfer work mathematical models. The fuzzy controller is then put together using two contributions: acceleration and variation, as well as a single outcome of control voltage for simulations and experiments research.

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Section: Review Of Literaturementioning

confidence: 99%

Fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

Li,

Wang,

Wang

et al. 2024

J. vibroeng.

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“…Te size and weight of FR have further increased, reaching tens of meters and hundreds of tons [12]. It is difcult to optimize the FR due to various practical constrains.…”

Section: Potential Lightweight Technologies and Its Applicationsmentioning

confidence: 99%

Review of Lightweight Vibration Isolation Technologies for Marine Power Devices

Qiu,

Xu,

et al. 2024

Shock and Vibration

Self Cite

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Vibration induced by marine power devices (MPD) transmitting to the hull structure is one of the most important factors that cause ship vibration and underwater sound radiation. Vibration isolation technologies (VIT) are widely applied to reduce the vibration transmission. However, the overweight issue of VIT for marine power devices is a currently challenging engineering problem. The current reserve of lightweight and high-efficiency VIT for MPD and relevant theoretical and design research are seriously insufficient. This article first elaborates the causes of the overweight problem of VIT for MPD: (1) failing to grasp the quantitative law; (2) single vibration suppression mechanism. Then, it systematically sorts out the technical methods and application examples with potential to solve the overweight problem, such as dynamic optimization design, lightweight material method, novel intermediate mass structures, distributed dynamic vibration absorbers (DDVAs), locally resonant structures (LRS), particle damping (PD), quasizero stiffness isolators (QZSI), and active vibration control (AVC) technologies. Finally, the future development of lightweight VIT for MPD is prospected. It can be used as a reference for marine vessel vibration attenuation research and engineering design.

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“…Thus, it is necessary to monitor and predict the alignment state in real time, and carry out precise alignment control by actively adjusting the air spring pressure. However, in large-scale ASVISs, due to factors such as strong interference and raft deformation, alignment prediction faces problems such as alignment measurement sensors failure and difficulty in establishing a mathematical model [5,6], making alignment prediction a challenging problem.…”

Section: Introductionmentioning

confidence: 99%

Alignment Prediction of Air Spring Vibration Isolation System for Marine Shafting Based on Genetic Algorithm–Back Propagation Neural Network

Liu,

Shi,

Liu

2024

Sensors

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Shafting alignment plays an important role in the marine propulsion system, which affects the safety and stability of ship operation. Air spring vibration isolation systems (ASVISs) for marine shafting can not only reduce mechanical noise but also help control alignment state by actively adjusting air spring pressures. Alignment prediction is the first and a key step in the alignment control of ASVISs. However, in large-scale ASVISs, due to factors such as strong interference and raft deformation, alignment prediction faces problems such as alignment measurement sensors failure and difficulty in establishing a mathematical model. To address this problem, a data model for predicting alignment state is developed based on a back propagation (BP) neural network, fully taking advantage of its self-learning and self-adaption abilities. The proposed model exploits the collected data in the ASVIS instead of the alignment measurement data to calculate the alignment state, providing another alignment prediction approach. Then, in order to solve the local optimum issue of BP neural network, we introduce the genetic algorithm (GA) to optimize the weights and thresholds of the BP neural network, and an improved GA-BP model is designed. The GA-BP model can leverage the advantages of the global search capability of GA as well as the BP neural network’s fast convergence in local search. Finally, we conduct experiments on a real ASVIS and evaluate the prediction models using different criteria. The experimental results show that the proposed prediction model with the GA-BP neural network can accurately predict the alignment state, with a mean-square error (MSE) of 0.0114. And compared to the BP neural network, the GA-BP neural network reduces the MSE by approximately 74%.

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Raft attitude control and elastic deformation suppression technique for large-scale floating raft air spring mounting system

Cited by 8 publications

References 10 publications

Fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

Fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

Review of Lightweight Vibration Isolation Technologies for Marine Power Devices

Alignment Prediction of Air Spring Vibration Isolation System for Marine Shafting Based on Genetic Algorithm–Back Propagation Neural Network

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