The aim of this thesis is to develop, integrate and validate an instrumentation and telemetry system targeted for intermediate helicopter drones. The system needs to answer requirements specific to flight tests and do live transmission of performance data to the user on the ground. The intention is to synthesize the different data harvesting methods for application to unmanned aerial vehicle testing by providing a modular approach and explicit data processing for the user. First, the important characteristics of the targeted drone class and prototype are discussed. Then relevant sensors for intermediate class unmanned vehicle development were chosen. A prioritization method, based on the vehicle health tracking and its performance, has been established for the integration of the sensors on the vehicle. Based on the choice of sensors, an architecture and required hardware was selected for the data acquisition system. Then, the conditioning, pre-treatment, storing, displaying and post-treatment methods were elaborated for each of the different measures. Finally, the treatment of each measure was validated to ensure the expected behavior. The data acquisition system was used on a helicopter unmanned aerial vehicle with success. The acquired data helped to ensure the safety of the device and contributed to its development.
| Date | 8 Oct 2018 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Pierre Bélanger (Supervisor) & Christian Belleau (Co-supervisor) |
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Ratelle, C. (Author),
Bélanger (Supervisor) &
Belleau (Co-supervisor),
8 Oct 2018Student thesis: Master's thesis › Master in Engineering: Mechanical Engineering