Tracking spacecraft as they traverse deep space isn’t easy. So far, it’s been done manually, with operators of NASA’s Deep Space Network, one of the most capable communication arrays for contacting probes on interplanetary journeys, checking data from each spacecraft to determine where it is in the solar system. As more and more spacecraft start … Continue reading 'Let the Robot Take the Wheel. Autonomous Navigation in Space'
Tracking spacecraft as they traverse deep space isn’t easy. So far, it’s been done manually, with operators of NASA’s Deep Space Network, one of the most capable communication arrays for contacting probes on interplanetary journeys, checking data from each spacecraft to determine where it is in the solar system. As more and more spacecraft start to make those harrowing trips between planets, that system will not be scalable.
Those light sources are known to wander and are also known as planets. Combining their positioning in a visual frame with a precise time calculated on the probe can accurately place where the probe is in the solar system. Importantly, such a calculation can be done with relatively minimal computing power, making it possible to automate the entire process on board, even a Cubesat.
After calculating the current position, trajectory, and speed, the probe must make any course adjustments to ensure it stays on the right track. On Cubesats, this can be as simple as firing off some thrusters. Still, any significant difference between the expected and actual thrust output can result in significant discrepancies in the probe’s eventual location.
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