Super-agile operation of small satellites
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Project and Master Subjects 2025-2026
- Super-agile operation of small satellites
- Early warning fault detection for satellite operations based on telemetry
- Semi-controlled re-entry for a satellite using attitude control
- System identification of environmental effects for a satellite during re-entry
- Mu-analysis for agile satellite attitude control maneuvers
- Enabling high-accuracy HYPSO image georeferencing by high-accuracy satellite pose estimation through postprocessing of satelitte sensor data
- High-accuracy attitude determination of Earth observation satellites
- Starlink: Signals of Opportunity positioning, navigation and timing (PNT)
- GNSS-R: Simulator design of a GNSS-Reflectometry simulator
- GNSS-R: Payload and embedded SW design
- GNSS-R: GNSS jamming and spoofing source localization from space
- GNSS-R: Formation flying of small satellites
- GNSS-R: Novel ship-detection methods for GNSS-Reflectometry
- Automatic Satellite Telemetry Anomaly Detection and Trend Analysis
- Which works better, explainable AI or black-box AI?
- Integrating the HYPSO constellation with the Copernicus Suite
- Explainable AI on a GPU
- What can the HYPSO-3 Hyperperspectral Cameras Observe?
- Could a short-wave infrared hyperspectral imager characterize oil spills?
- Coordinated Planning between a satellite constellation and a Autonomous Surface Vehicle
- Calibration of Hyperspectral camera point-spread function
- Past Projects
Super-agile operation of small satellites (F25/S26)
Reduced costs have made it possible for smaller actors, such as NTNU, to acquire and operate their own satellites. The small satellites at NTNU can change its attitude in all directions, giving it far more flexibility than traditional Earth observation satellites. This flexibility can be leveraged in what is called super-agile operations. Many aspects influence how well a satellite can function through its operations, from the model of the attitude dynamics of the satellite, the utilization of its battery capacity, its data downlink strategy, the implementation of the scheduling algorithm, and many more. The focus of the student working on this project will be determined in discussion with the supervisors based on the student’s interests.
For more information, contact Tor Arne Johansen (tor.arne.johansen@ntnu.no), Jan Tommy Gravdahl (jan.tommy.gravdahl@ntnu.no) or Bjørn Andreas Kristiansen (bjorn.a.kristiansen@ntnu.no).