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Shane Ross

@RossDynamicsLab4,585 subscribers

Engineering math professor at @Virginia_Tech. Nonlinear dynamics, orbital mechanics, and the geometry of motion // @Caltech PhD

Shorts

What if a spacecraft could cycle between Earth and Moon orbits, performing multiple circuits of each, naturally and indefinitely, with zero propulsion? We’ve discovered a new class of stable, prograde, low-energy cycler orbits that do just that. Why these orbits matter: Ballistic → fuel-free Stable → long-term ready Near-chaotic → agile with low ΔV Low-energy → access to Earth/Moon, Lagrange points, Sun–Earth L1/L2, even heliocentric space At the AAS/AIAA Astrodynamics Specialist Conference in Boston next week, I’ll present on a new family of ballistic Earth-Moon cycler orbits that are stable, prograde, and mission agile—unlike any cyclers in the current literature. The example below is shown in both the Earth-Moon rotating frame and inertial frame. Conference Paper:

What if a spacecraft could cycle between Earth and Moon orbits, performing multiple circuits of each, naturally and indefinitely, with zero propulsion? We’ve discovered a new class of stable, prograde, low-energy cycler orbits that do just that. Why these orbits matter: Ballistic → fuel-free Stable → long-term ready Near-chaotic → agile with low ΔV Low-energy → access to Earth/Moon, Lagrange points, Sun–Earth L1/L2, even heliocentric space At the AAS/AIAA Astrodynamics Specialist Conference in Boston next week, I’ll present on a new family of ballistic Earth-Moon cycler orbits that are stable, prograde, and mission agile—unlike any cyclers in the current literature. The example below is shown in both the Earth-Moon rotating frame and inertial frame. Conference Paper:

418,992 views

Yes, but only for a while. In this simulation, 20 nearly identical pendulums start together, then diverge after a few seconds, the time horizon of predictability. Chaos doesn’t mean randomness, just sensitivity.

Yes, but only for a while. In this simulation, 20 nearly identical pendulums start together, then diverge after a few seconds, the time horizon of predictability. Chaos doesn’t mean randomness, just sensitivity.

19,000 views

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