Titlebook: New Achievements in Unmanned Systems; International Sympos T. Hikmet Karakoc,Nadir Yilmaz,Ali Haydar Ercan Conference proceedings 2023 The

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書目名稱New Achievements in Unmanned Systems被引頻次學科排名




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書目名稱New Achievements in Unmanned Systems年度引用學科排名




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書目名稱New Achievements in Unmanned Systems讀者反饋學科排名

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Inference of Civil Infrastructure Vibrations Using Unmanned Aerial Vehicles,ardous events such as earthquakes. Unmanned aerial vehicle (UAV) systems are used as mobile sensors to measure vibrations and deformations of civil infrastructure. Compared with the conventional structural health monitoring systems, UAVs provide essential advantages such as remoteness, mobility, aut

Sarcoma

Electrical System Design for Very Light Aircraft, very light aircraft (VLA) with a single motor. In any action to be taken on the subject such as system architectures to be created, selection of electrical equipment and layout of these equipment, selection of suitable cable, connectors and lights, etc., the EASA CS-VLA Standard was applied. The de

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A Test-Bed for Attitude Determination and Control System of Nanosatellite, implement the test scenarios of the sensors, actuators, and algorithms. Magnetometer, accelerometer, and gyroscope are used as attitude sensors to estimate the state of the satellite. As the primary attitude control actuator, three reaction wheels are used in each axis. The test setup is composed o

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Satellite Formation Flight via Thrusters and Proportional-Integral-Derivative Control Approaches, approaches. The identical 3U target and follower satellites orbits and initial conditions are simulated according with desired formation geometry limitations. In this study, target and follower satellites states are determined as derived simulation data. The various satellites thruster’s scenario i

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Adaptive Kalman Filter-Based Sensor Fault Detection, Isolation, and Accommodation for B-747 Aircrafraft in this study. The flight dynamic model of Boeing-747 aircraft in steady state flight condition is presented and investigated. In nominal case, the Optimal Linear Kalman Filter (OLKF) gives fine estimation values. However, when there is a malfunction on the measurement channels, the accuracy of

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