Field Notes

Sorry for the lack of updates, things have been very busy here in Lubbock. We've run into a bunch of unforseen challenges along the way, but it wouldn't be an engineering field deployment if everything went perfectly the first time! Since our first week of the deployment has come to...

The EA-DDDAS systems are being tested and steadily coming online. We successfully received Ka-doppler data, advanced the wind field through an online forecast system, and recorded the wind field to a MongoDB system operating in the field. This database is accessed in real-time by the trajectory optimization layer as well...

During the EA-DDDAS deployment this summer we'll be flying a Tempest with a PixHawk autopilot on-board. The PixHawk uses the well-known MAVLink protocol released by Lorenz Meier over at ETH Zürich. The protocol was designed to be language and (mostly) hardware agnostic which is great for portability but this means...

The Trajectory Optimization Layer (TOL) is a middleware component of the EA-DDDAS aircraft control system. It resides below the extended time-horizon path planner and above the aircraft path following controller. It's primary responsibility is generating energy-aware optimal flight trajectories in real-time using measured data of the wind environment. By harnessing...

This is where we will be providing the latest news and updates on our EA-DDDAS field deployments this June in Lubbock, TX. Check back closer to June for news!