MAE 276 Course Project
Abstract: Spectral imaging of plants can allow one to establish a relationship between the leaf temperature (gathered via proximal infrared sensing) and the Stem Water Potential (SWP). Using this information one may be able to analyze the water demand of a field of crops. Dr. Shrinivasa Upadhyaya's research group in the Biological Systems Engineering Department at UC Davis has developed a UAV outfitted with a spectral camera to allow for remote collection of spectral images for near real-time analysis of crop irrigation demand. Here a team of three students from Dr. Michael Hill's Data Acquisition and Analysis course has experimentally investigated the current issues with the camera stabilization control algorithms in order to maximize the amount of useable images being captured.
This video shows the response of the system with respect to a sinusoidal input followed by a ramp. The red bar is the camera body. Here, no control is applied and the bushings are modeled as loose so the blue bar (Landing Gear body) can have some relative angular motion between the black bar (UAV body).
This video shows the response of the system with respect to a sinusoidal input followed by a ramp. The red bar is the camera body. Here, control is applied and the bushings are modeled as loose so the blue bar (Landing Gear body) can have some relative angular motion between the black bar (UAV body). In this case, as there is PID control, it should be noticed that the red bar is trying to be kept vertical.
This video shows the response of the system with respect to a sinusoidal input followed by a ramp. The red bar is the camera body. Here, control is applied and the bushings are modeled as tight (30 Hz) so the blue bar (Landing Gear body) almost no relative angular motion between the black bar (UAV body). In this case, as there is PID control, it should be noticed that the red bar is trying to be kept vertical and does a slightly better job due to the lack of the bushing slop.
Some images of the system during testing in the lab.
uav_mid-project_progress.pdf | |
File Size: | 1254 kb |
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uav_final-progress-update.pdf | |
File Size: | 1165 kb |
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matlab-simulation-files.zip | |
File Size: | 4 kb |
File Type: | zip |