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Prediction of Model Rocket Trajectories Using Low Cost Sensor Packages

The ability to make accurate predictions of rocket flight paths is critical for development of commercial spacecraft and other flight worthy rocket-assisted vehicles. With the advent of low cost micro-controllers and sensors, an opportunity exists to quickly and easily verify flight path predictions and other key characteristics of a rocket launch such as peak velocity, peak impulse, apogee, etc. In the presented research, an Adafruit Feather microtroller with an ATSAMD21G18 ARM Cortex M0 processor is integrated into the payload package of a Loadstar II model rocket along with a Global Positioning System (GPS) receiver, Inertial Measurement Unit (IMU), lithium polymer battery power source, micro-SD data storage, and pitot tube with differential pressure sensor in the nose cone. Simulations of a nominal Loadstar II rocket trajectory are performed using open-source software from OpenRocket and compared to the data acquired from the on-board electronics package. The general behavior of the pitot tube and IMU data collected by the experiment compares reasonably well to the predicted shape of the OpenRocket simulations, however, peak values show some inaccuracies when compared against one another. Regardless, the analysis of the data suggests certain controls and measurements that will be necessary for future testing, and furthermore provides evidence to support the notion that that these low cost micro-controllers and sensors are capable of providing rapid and cost effective acquisition of key variable estimates that bring value to the engineering design of rocket-assisted flight worthy hardware.