Installing the Lego Autopilot (GeekDad Wayback Machine)

Geek Culture

After my proof of concept of a Lego autopilot a couple weeks ago, the hard work began. First thing was to find an appropriate “avionics platform”, AKA a good-sized R/C airplane. We settled on the Electristar .40-sized trainer, which seemed to have the right balance of stability and equipment compartment size.

The HiTechnic guys had seen my previous post on my plans to build a Lego autopilot and kindly FedExed me a prototype of the gyro sensor. I’d been using a tilt sensor as a stand-in, which actually worked quite well. But programming the Lego servo to smoothly track the tilt sensor position readings had taken me and the nine-year-old all the spare time we had this weekend. The gyro sensor introduces another level of complexity (albeit a necessary one to handle the unpredictable gusts and bumps of real flying), and that’s going to take us a few more weekends to figure out. So in the meantime, we turned to the mechanical side.

Adapting the autopilot to fit turned out to be pretty easy–just a few holes in the equipment floor of the plane to bolt down the Lego base pieces. It all fit together freakishly well:

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Here, to get a sense of scale, is the whole plane, minus the wings:

The Lego equipment adds about a pound to the plane’s weight. That probably won’t be a problem (the weight is right at the center of gravity and the plane has power to spare), but just in case, I switched the plane’s batteries to Lithium Polymer, which provide even more power at a pound less weight than the standard NiHM. It’s now got plenty of juice to support even more avionics to come (GPS, video, radio backchannel, etc).

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For you Lego Mindstorms geeks, here’s the instruction page for the prototype gyro sensor (click to enlarge). Next weekend I’ll post about the programming necessary to make a real autopilot, and why you might want to consider alternatives to the basic block-based Mindstorms visual programming environment. (Short answer: if you want to do anything remotely complicated, the Mindstorms visual approach turns into a sprawling mess.)

[This post originally ran in March, 2007]

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