Autonomous aerial refueling technology is gaining increasing attention to enhance aircraft combat *** research on autonomous refueling focuses mainly on flight control laws,with little attention to the automation of r...
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Autonomous aerial refueling technology is gaining increasing attention to enhance aircraft combat *** research on autonomous refueling focuses mainly on flight control laws,with little attention to the automation of refueling *** leads to high demands on control law performance and navigation accuracy,making it difficult to ensure *** address this,we propose a robotic arm system capable of automatic docking during the flexible aerial refueling *** system uses a conical kinematic space configuration,offering enhanced stability and impact *** frame-type structure achieves a lightweight ***,we establish a single-objective optimization model for the connecting rod dimensions and apply a genetic algorithm(GA)for their *** also propose a trajectory-fitting calibration theory based on the robotic arm's special configuration and complete its movement accuracy calibration using a laser *** calibration method reduces the robotic arm's motion error by 71%,achieving an absolute positioning accuracy better than 3.5 mm,which meets the requirements for autonomous aerial *** summary,this research presents a hybrid robotic arm that meets automatic docking requirements,offering a new approach to autonomous aerial refueling.
The present work refers to the determination and characterization of the combustion laws specific to several gun and rocket propellants. Our approach takes into account the combustion process when firing at two differ...
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作者:
Ouyang, JinhuaChen, XuMechatronics
Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States Mechatronics
Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States
We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input...
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Micro holes array has significant applications in the field of aerospace and turbo machinery, industrial filtration, microfluidic devices, biomedical engineering, and so on. There are various ways to manufacture micro...
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Cardiovascular diseases are among the vital causes of mortality worldwide which need early detection with the use of auscultation examination. Heart diseases could be diagnosed in a convenient way of heartbeat sound a...
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This paper presents comparative studies of deep neural network structures for classifying drivers’ characteristics. The goal is to find a suitable deep neural network (DNN) that can automatically classify the driver&...
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This paper aims to design an intelligent algorithm that tracks the maximum power from the photovoltaic system to drive a separately excited DC motor. Three algorithms were studied, namely: perturbation and observation...
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This paper describes a methodology for estimating optimal parameter values that are crucial for matching sonar images using topological descriptors. In previous studies, parameter settings for image matching were ofte...
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An efficient local kernel-based Gaussian Process (GP) grid map approximation method is proposed for mobile robot exploration using 2D Light Detection and Ranging (LiDAR) sensors. While the conventional GP grid map cap...
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Projection-based integrators are effectively employed in high-precision systems with growing industrial success. By utilizing a projection operator, the resulting projection-based integrator keeps its input-output pai...
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