Difference between revisions of "Sequoia GNC"
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| Write B-dot Algorithm Routine || Duck || Duck | | Write B-dot Algorithm Routine || Duck || Duck | ||
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− | | Write | + | | Write an Evaluation Pipeline for Star Tracker Algorithm || Duck || Duck |
|- | |- | ||
|| Something New! || We are always looking for better ideas for our sattelite! Either better ways to achieve our current aims or (potentially) adding some new feature you want to work on. || We do not know what skills will be involved but we guess that churning butter will not be one of them. | || Something New! || We are always looking for better ideas for our sattelite! Either better ways to achieve our current aims or (potentially) adding some new feature you want to work on. || We do not know what skills will be involved but we guess that churning butter will not be one of them. |
Revision as of 17:28, 5 September 2020
This page describes the architecture for the Guidance, Navigation, and Control (GNC) system for the Sequoia project. Since this system is primarily focused on determining and controlling attitude, we also may refer to it as ADCS.
Sequoia GNC Onboarding
No matter what background you have, you can contribute to Sequoia GNC! You can learn about the intersection between physics, CS, and engineering and especially control theory. Here's a few aspects of our system we currently need someone to work on:
Project | Background | Skills/Knowledge Involved |
---|---|---|
Write Script to Evaluate Kalman Filter Performance | A Kalman Filter is an algorithm that takes a series of noisy measurements from multiple sources over time, adds in some physics and probability theory, and estimates the current state of the satellite, with uncertainties. Currently, we have an in-progress code that simulates the physics of the sattilite's rotation and a Kalman filter that gets simulated measurements from that code and estimates the orientation of the satellite. However, we need a code that runs the Kalman filter multiple times in different scenarios and evaluates its performance. This will be needed as we progress with the Kalman Filter development to evaluate its performance and identify problems. | Basic knowledge of coding (particularly Python), physics, and probability theory are helpful, but by no means necessary. We expect that this project will be a good chance to learn about these. |
Write Code to Simulate Star Images to test the Star Tracker | Example | Example |
Design Binary Message Format to Send Compressed GNC Messages between Microcontrollers | Example | Example |
Write Algorithm to Search Nearby Magnetic Field Map to Determine Location based on Measured Magnetic Field | Duck | Duck |
Write B-dot Algorithm Routine | Duck | Duck |
Write an Evaluation Pipeline for Star Tracker Algorithm | Duck | Duck |
Something New! | We are always looking for better ideas for our sattelite! Either better ways to achieve our current aims or (potentially) adding some new feature you want to work on. | We do not know what skills will be involved but we guess that churning butter will not be one of them. |