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A Real-Time Algorithm for Non-Convex Powered Descent Guidance [pdf]
- RansomStark 1y agoI must be half asleep, I was expecting some novel machine learning algorithm. I was pleasantly surprised to find a spaceflight algorthim instead. I am completely out of my depth, so have nothing constructive to add. But it sounds interesting.
- wiz21c 1y agoFunny, I fell into that one too... I guess "guidance" has a few letters in common with "gradient" so our brain triggers... See: https://medium.com/@stephenwatathi/the-brains-power-to-read-jumbled-text-adfbd0ae3c28 https://medium.com/@stephenwatathi/the-brains-power-to-read-...
- vessenes 1y agoThis is the algorithm SpaceX uses to catch rockets. If you watch any of the landings/chopstick catches, you’ll notice that they don’t seem to oscillate back and forth like a lot of control systems we’re “used to” seeing. This algorithm is why! Super cool.
- metalman 1y agoso as soon as the rocket starts to fall @ the minimum controll speed, they draw a virtual strait line between the rocket and the landing spot, and follow it, sort of an inverse geodetic line, compensate for wind with the "flaps" and vectored thrust on the rockets, giving enough horizontal thrust, and gravity providing a very steady and reliable pull makes a lot of sense, as it is the most fuel efficient and fastest return, and any issues with guidance are imediately clear, making it part of the abort system as well
- vessenes 1y agoTotally. It’s the guaranteed convexity that is the cool and awesome part.
- xiaoyu2006 1y agoReminds me of L. Blackmore’s https://www.semanticscholar.org/paper/Lossless-Convexification-of-Nonconvex-Control-Bound-A%C3%A7ikmese-Carson/9209221aa6936426627bcd39b4ad0604940a51f9 https://www.semanticscholar.org/paper/Lossless-Convexificati...
- pugworthy 1y agoWould love to see this control a classic Lunar Lander type game such as http://moonlander.seb.ly/ http://moonlander.seb.ly/