Build a Model Rocket Flight Computer
Log altitude, acceleration, and temperature on a real launch
Last reviewed: March 2026Overview
Model rocketry is one of the oldest and most exciting ways to get hands-on with aerospace. In this project, you'll go beyond just launching a rocket — you'll build a flight computer that rides along and records what happens during flight.
Using an Arduino microcontroller and a barometric pressure sensor, your flight computer will log altitude, acceleration, and temperature at high speed. After recovery, you'll download the data and use Python to plot your rocket's flight profile — seeing exactly when the motor burned out, when the rocket hit apogee, and how fast it came down under parachute.
This is real aerospace engineering at a small scale. The same principles — sensing, logging, post-flight analysis — are used on everything from sounding rockets to orbital launch vehicles.
What You'll Learn
- ✓ Program an Arduino to read sensors and log data to an SD card
- ✓ Understand barometric altitude measurement and accelerometer data
- ✓ Build a complete data acquisition system that survives a rocket launch
- ✓ Use Python to parse CSV data and create flight profile plots
- ✓ Apply the scientific method: predict, measure, analyze, iterate
Step-by-Step Guide
Gather Your Hardware
You'll need an Arduino Nano (or Uno), a BMP280 barometric pressure sensor, an MPU6050 accelerometer/gyroscope, a micro SD card module, and a small LiPo battery. Total cost: ~$25–40 from Amazon or Adafruit.
For the rocket itself, start with an Estes kit (E2X or similar) that has a payload section large enough for your electronics. The Estes Hi Flier or Generic E2X are good choices.
Wire the Circuit
Connect the BMP280 and MPU6050 to the Arduino via I2C (SDA/SCL pins). Wire the SD card module to the SPI pins. Power everything from the LiPo through a voltage regulator.
Test each sensor individually first — make sure you're getting reasonable readings for pressure, temperature, and acceleration before combining them.
Write the Flight Software
Your Arduino sketch needs to do three things: initialize sensors, log data in a loop, and save to SD card. Log at 10–20 Hz (readings per second) for good resolution.
Each line in your CSV should include: timestamp (ms), pressure (Pa), temperature (°C), and acceleration on X/Y/Z axes (m/s²). Add an LED that blinks to confirm the system is logging.
Package for Flight
Secure the electronics in the rocket's payload bay using foam padding. The flight computer must survive launch forces (up to ~10 G) and ejection charge shock. Make sure the SD card is firmly seated and the battery is secured with tape or velcro.
Important: orient the accelerometer so you know which axis is "up" — this makes analysis much easier.
Launch and Recover
Follow all NAR (National Association of Rocketry) safety codes. Launch at a club launch event if possible — experienced rocketeers can help with your first instrumented flight.
After recovery, immediately check the SD card. If the file is there and has data, you've succeeded at the hardest part: building a system that works under real flight conditions.
Analyze with Python
Load your CSV data into Python using pandas. Convert pressure readings to altitude using the barometric formula. Plot altitude vs. time to see your full flight profile.
Identify key events: motor burnout (acceleration drops), apogee (max altitude), ejection charge (sudden altitude change), and landing. Calculate max altitude, max speed, and flight duration.
Tip: Compare your measured apogee to the Estes predicted altitude for your motor. How close were they? What factors might cause differences?
Document and Iterate
Write up your results with plots and photos. What worked? What would you change? Common improvements include: higher sampling rates, adding a GPS module, or triggering parachute deployment electronically instead of using an ejection charge.
Career Connection
See how this project connects to real aerospace careers.
Aerospace Engineer →
Flight data analysis is fundamental — engineers at SpaceX and NASA use the same sensor-to-insight pipeline on real launch vehicles
Avionics Technician →
Sensor integration, wiring, and troubleshooting embedded systems are daily tasks in avionics work
Drone & UAV Ops →
Drone flight controllers use identical sensor types (IMU + barometer) for altitude hold and stabilization
Space Operations →
Telemetry — collecting and interpreting sensor data from a vehicle — is central to mission operations
Go Further
Ready to level up? Try these extensions:
- Add GPS tracking — log latitude/longitude during flight and plot the ground track
- Build a dual-deploy system — use the altimeter to trigger a drogue chute at apogee and main chute at a lower altitude
- Compare motors — fly the same rocket with different motors and compare the flight profiles
- Enter a competition — NAR and Tripoli Rocketry clubs run altitude prediction contests where your data analysis skills are a real advantage