Determination of extreme responses of USFG's equilibrium glide path hovering in ocean current

Ahmad, Usman Nawaz; Xing, Yihan; Wang, Shuaishuai

doi:10.1016/j.oceaneng.2022.112343

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…An LQR type control is utilized to optimize the performance of a closed-loop system by providing optimally tuned controller gains. LQR being a popular choice amongst AUVs, it has been employed for steering control [37] depth control [38], [39], and hovering control [40]- [42]. The gain matrix (K) is derived for USFG by utilizing the dynamic state-space model.…”

Section: Lqr Control and Tuningmentioning

confidence: 99%

UiS Subsea-Freight Glider: A Large Buoyancy-Driven Autonomous Cargo Glider

Ahmad

Xing

2023

Journal of Offshore Mechanics and Arctic Engineering

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This work presents the baseline design for the autonomous subsea vehicle capable of traveling at a lower speed of 1 m/s with an operating range of 400 km. Owing to UiS subsea-freight glider's (USFG) exceedingly economical and unique propulsion system, it can transport various types of cargo over variable distances. The primary use-case scenario for the USFG is to serve as an autonomous transport vessel to carry CO2 from land-based facilities to subsea injection sites. This allows the USFG to serve as a substitute for weather-dependent cargo tankers and underwater pipelines. The length of the USFG is 50.25 m along with a beam of 5.50 m, which allows the vessel to carry 518 m3 of CO2 while serving the storage needs of the carbon capture and storage (CCS) ventures on the Norwegian continental shelf. The USFG is powered by battery cells, and it only consumes a little less than 8 kW of electrical power. Along with the mechanical design of the USFG, the control design is also presented in the final part of the paper. The manoeuvring model of the USFG is presented along with two operational case studies. For this purpose, an LQR and PID-based control system is designed, and a detailed comparison study is also shown in terms of tuning and response characteristics for both controllers.

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Section: Lqr Control and Tuningmentioning

confidence: 99%

UiS Subsea-Freight Glider: A Large Buoyancy-Driven Autonomous Cargo Glider

Ahmad

Xing

2023

Journal of Offshore Mechanics and Arctic Engineering

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“…The ACER method is less restrictive and more flexible than the approaches based on asymptotic theory, and it is capable of capturing subasymptotic behaviour of data and is applicable to nonstationary time series. The ACER extrapolation method has been successfully applied and validated for the extreme value prediction, i.e., on the mean up-crossing rate function tail of many engineering problems including wind turbine applications, e.g., [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A comparison study of power performance and extreme load effects of large 10‐MW offshore wind turbines

Wang

Xing

Karuvathil

et al. 2023

IET Renewable Power Gen

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The utilisation of offshore wind turbines has rapidly increased in the last decade, which has resulted in a steady increase in wind turbine sizes. The global average offshore wind turbine size has increased from 1.5 MW to 6 MW in the last two decades. The research community has started to investigate huge 10 to 15 MW offshore wind turbines in recent years, resulting in the study of very innovative floating wind turbines using various substructure technologies. With this backdrop, this paper will investigate and thoroughly compare the power performance of extreme load effects of a large offshore 10 MW turbine installed on the monopile, spar, and semisubmersible substructures. This is performed by using the average conditional exceedance rate (ACER) and Gumbel methods to predict the extreme responses under the operating conditions of 8, 12, and 16 m/s mean wind speed, representing the below‐rated, rated, and above‐rated regions, respectively. The results show that the power performance and extreme loads experienced depends significantly on the operating regions. The mean power generation between the three different types of offshore wind turbines (OWTs) are closely in the whole operating range, which standard deviations differ significantly. Large standard deviations of power generation appear in the spar turbine under the below‐rated condition. Further, it was observed that the spar wind turbine generally experiences larger extreme loads due to larger platform pitch motion. In addition, the ACER method shows a better prediction for the 1, 2 and 5‐year extreme responses than the Gumbel method, which is due to the relatively poor data fitting of the Gumbel method at the upper tail. The study is believed to consolidate and close the knowledge gap in understanding wind turbine responses across the most common offshore substructure technologies and provide a basis for design and deployment of OWTs.

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Control parameter optimization based trajectory design of underwater gliders executing underwater fixed-point exploration missions

Jiang

et al. 2023

Ocean Engineering

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Determination of extreme responses of USFG's equilibrium glide path hovering in ocean current

Cited by 3 publications

References 17 publications

UiS Subsea-Freight Glider: A Large Buoyancy-Driven Autonomous Cargo Glider

UiS Subsea-Freight Glider: A Large Buoyancy-Driven Autonomous Cargo Glider

A comparison study of power performance and extreme load effects of large 10‐MW offshore wind turbines

Control parameter optimization based trajectory design of underwater gliders executing underwater fixed-point exploration missions

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