SystemsGo Tsiolkovsky Challenge — High-Powered Rocket & Flight Computer

Context

Tsiolkovsky was a SystemsGo high-powered rocketry challenge combining vehicle work with an avionics and software problem.

Confirmed contribution

Confirmed work includes a custom Raspberry Pi flight computer programmed in Python and the approach for data acquisition, telemetry, and onboard video.

The final page will distinguish exact chassis, structural, wiring, and integration responsibilities once team records and project evidence are gathered.

System approach

The flight-computer concept connects sensors to a Raspberry Pi running Python, then routes information to storage, telemetry, and video while accounting for power and airframe interfaces.

Packaging had to make the computing, sensing, power, and video elements practical to install and inspect within the rocket.

Implementation & integration

The custom computer combined Raspberry Pi hardware and Python with a data-acquisition and telemetry approach plus an onboard video system.

Integration work included the need to document wiring, mounting, packaging, power, sensor placement, and the interface with the airframe.

Testing & verification

Ground-test and launch-preparation evidence will establish how each subsystem was checked before flight and what acceptance criteria were used.