Data Collected with Package Delivery VTOL Drone
收藏DataCite Commons2023-10-12 更新2024-07-13 收录
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https://kilthub.cmu.edu/articles/dataset/Data_Collect_with_Package_Delivery_VTOL_Drone/21997787/2
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This experiment was performed in order to empirically measure the energy use of electric Vertical Takeoff and Landing (VTOL) Unmanned Aerial Vehicles (UAVs). We autonomously direct a MakeFlyEasy Fighter VTOL drone to take off, carry a range of payload weights on two different flight patterns, and land. Between flights, we varied specified parameters through a set of discrete options, payload of 0 , 400 g and 800 g; altitude during cruise of 50 m and 100 m; and speed during cruise of 18 m/s and 22 m/s. We simultaneously collect data from a broad array of on-board sensors. The onboard sensors used to collect these data are * Wind sensor: FT Technologies FT205 UAV-mountable, pre-calibrated ultrasonic wind sensor with accuracy of ± 0.1 m/s and refresh rate of 10 Hz.; * Position: 3DM-GX5-45 GNSS/INS sensor pack. These sensors use a built-in Kalman filtering system to fuse the GPS and IMU data. The sensor has a maximum output rate of 10Hz with accuracy of ± 2 m$ RMS horizontal, ± 5 m$ RMS vertical. * Current and Voltage: Mauch Electronics PL-200 sensor. This sensor can record currents up to 200 A and voltages up to 33 V. Analogue readings from the sensor were converted into a digital format using an 8 channel 17 bit analogue-to-digital converter (ADC). Data syncing and recording was handled using the Robot Operating System (ROS) running on a low-power Raspberry Pi 4. Data was recorded on the Raspberry Pi's microSD card. The data provided by each sensor were synchronized to a frequency of approximately 5Hz using the ApproximateTime message filter policy of Robot Operating System (ROS). The number of flights performed varying operational parameters (payload, altitude, speed) was 75.
提供机构:
Carnegie Mellon University
创建时间:
2023-02-03



