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Abhishek Phadke, F. Antonio Medrano, Tianxing Chu, Chandra N. Sekharan and Michael J. Starek
UAV swarms have multiple real-world applications but operate in a dynamic environment where disruptions can impede performance or stop mission progress. Ideally, a UAV swarm should be resilient to disruptions to maintain the desired performance and produ...
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Diju Gao, Weixi Xie, Chunteng Bao, Bin Liu and Jiaxing Zhuang
In order to realize accurate and fast firefighting at sea, a control method for water cannons of unmanned fireboats considering wind and ship motion disturbances is presented. This method combines information fusion, computer vision, and prediction techn...
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Apolo Silva Marton, José Raul Azinheira, André Ricardo Fioravanti, Ely Carneiro De Paiva, José Reginaldo H Carvalho and Ramiro Romankevicius Costa
Good state and wind estimation is a requirement for the development of guidance and control techniques for airships. However, usually this information is not directly available from the airship sensors. The typical solution applies filtering, estimation ...
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Herath M. P. C. Jayaweera and Samer Hanoun
Path planning of unmanned aerial vehicles (UAVs) is one of the vital components that supports their autonomy and deployment ability in real-world applications. Few path-planning techniques have been thoroughly considered for multirotor UAVs for pursuing ...
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Yagang Zhang, Jingyun Yang, Kangcheng Wang and Zengping Wang
This paper considers the effect of nonlinear atmospheric disturbances on wind power prediction. A Lorenz system is introduced as an atmospheric disturbance model. Three new improved wind forecasting models combined with a Lorenz comprehensive disturbance...
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Eleanor R. Stern, Federico Riva and Scott E. Nielsen
Forest fragmentation threatens forest biodiversity and ecosystem function. One of the concerns relates to increases in edge effects, which among other things affects the forest microclimate that influences the distribution and behavior of species. In Alb...
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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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Farhad Amiri, Mohsen Eskandari and Mohammad Hassan Moradi
The penetration of intermittent wind turbines in power systems imposes challenges to frequency stability. In this light, a new control method is presented in this paper by proposing a modified fractional order proportional integral derivative (FOPID) con...
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Shiqian Liu, James F. Whidborne, Sipeng Song and Weizhi Lyu
This paper studies the attitude tracking control of a flexible airship subjected to wind disturbances, actuator saturation and control surface faults. Efficient flexible airship models, including elastic deformation, rigid body motions, and their couplin...
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Si Gao, Shengbin Jia, Yanyu Wan, Tim Li, Shunan Zhai and Xinyong Shen
The possible role of air?sea latent heat flux (LHF) in tropical cyclone (TC) genesis over the western North Pacific (WNP) is investigated using state-of-the-art satellite and analysis datasets. The authors conducted composite analyses of several meteorol...
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The traditional additional inertial control (T-AIC) strategy can provide frequency support for the directly-driven wind turbine with a permanent magnet synchronous generator (D-PMSG). However, due to the fixed control coefficients, the frequency modulati...
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Kiyoshi Umeki,Marc David Abrams,Keisuke Toyama,Eri Nabeshima
Pág. e019
Aim of study: To develop a statistical model framework to analyze longitudinal wind-damage records while accounting for autocorrelation, and to demonstrate the usefulness of the model in understanding the regeneration process of a natural forest.Area of ...
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Yi Feng, Cong Zhang, Stanley Baek, Samir Rawashdeh and Alireza Mohammadi
Developing methods for autonomous landing of an unmanned aerial vehicle (UAV) on a mobile platform has been an active area of research over the past decade, as it offers an attractive solution for cases where rapid deployment and recovery of a fleet of U...
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Zengguang Liu, Guolai Yang, Liejiang Wei, Daling Yue and Yanhua Tao
Energy storage plays a major role in solving the fluctuation and intermittence problem of wind and the effective use of wind power. The application of the hydraulic accumulator is the most efficient and convenient way to store wind energy in hydraulic wi...
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Roberto Luiz Ramos
This paper presents the design of a linear quadratic (LQ) optimal controller for a spar-type floating offshore wind turbine (FOWT). The FOWT is exposed to different sea states and constant wind turbulence intensity above rated wind speed. A new LQ contro...
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Roberto Luiz Ramos
This paper presents the design of a linear quadratic (LQ) optimal controller for a spar-type floating offshore wind turbine (FOWT). The FOWT is exposed to different sea states and constant wind turbulence intensity above rated wind speed. A new LQ contro...
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Roberto Luiz Ramos
This paper presents the design of a linear quadratic (LQ) optimal controller for a spar-type floating offshore wind turbine (FOWT). The FOWT is exposed to different sea states and constant wind turbulence intensity above rated wind speed. A new LQ contro...
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Pramod Abichandani, Deepan Lobo, Meghna Muralidharan, Nathan Runk, William McIntyre, Donald Bucci and Hande Benson
This work demonstrates distributed motion planning for multi-rotor unmanned aerial vehicle in a windy outdoor environment. The motion planning is modeled as a receding horizon mixed integer nonlinear programming (RH-MINLP) problem. Each quadrotor solves ...
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Grigory Dolgikh, Stanislav Dolgikh, Vladimir Chupin, Vladimir Ovcharenko, Vyacheslav Shvets and Sergey Yakovenko
In the paper, we discuss the results of processing and analysis of field data obtained from a laser-based supersensitive detector during the registering of hydrosphere pressure variations on the seabed at various points of the Sea of Japan shelf. The mai...
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Richard C. Cobb and Margaret R. Metz
The disease triangle is a basic and highly flexible tool used extensively in forest pathology. By linking host, pathogen, and environmental factors, the model provides etiological insights into disease emergence. Landscape ecology, as a field, focuses on...
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