UAV Flight Controller Saves Weight

When building autonomous airborne vehicles like drones or UAVs, saving a little bit of weight goes a long way, literally. Every gram saved means less energy needed to keep the aircraft aloft and ultimately more time in the air, but unmanned vehicles often need to compromise some on weight in order to carry increased computing abilities. Thankfully this one carries a dizzying quantity of computer power for an absolute minimum of weight, and has some clever design considerations to improve its performance as well.

The advantage of this board compared to other similar offerings is that it is built to host a Raspberry Pi Compute Module 4, while the rest of the flight controllers are separated out onto a single circuit board. This means that the Pi is completely sandboxed from the flight control code, freeing up computing power on the Pi and allowing it to run a UAV-specific OS like OpenHD or RubyFPV. These have a number of valuable tools available for unmanned flight, such as setting up a long range telemetry and camera links. The system itself supports dual HD camera input as well as additional support for other USB devices, and also includes an electronic speed controller mezzanine which has support for quadcopters and fixed wing crafts.

Separating non-critical tasks like cameras and telemetry from the more important flight controls has a number of benefits as well, including improved reliability and simpler software and program design. And with a weight of only 30 grams, it won’t take too much cargo space on most UAVs. While the flight computer is fairly capable of controlling various autonomous aircraft, whether it’s a multi-rotor like a quadcopter or a fixed wing device, you might need a little more computing power if you want to build something more complicated.

Well-Built Sentry Gun Addresses The Menace Of Indoor Micro-UAVs

What is this world coming to when you can’t even enjoy sitting in your living room without some jamoke flying a drone in through the window? Is nothing sacred? Won’t someone think of the children?

Apparently [Drew Pilcher] did, and the result is this anti-drone sentry gun.  It’s a sturdily built machine – one might even say it’s overbuilt. The gimbal is made from machined steel pieces, and the swivels are a pair of Sherline stepper-controlled rotary tables with 1/40 of a degree accuracy selling for $400 each. Riding atop that is a Nerf rifle, which is cocked by a stepper-actuated linear slide, as well as a Kinect for object tracking. The tracking app is a little rough – just OpenCV hacked onto the Kinect SDK – but good enough for testing. The gun tracks as smoothly as one would expect given the expensive hardware, and the auto-cocking feature works well if a bit slowly. Based as it is on Nerf technology, this sentry is only indicated for the control of the micro-drones seen in the snuff video below, but really, anyone afflicted by indoor infestations of Phantoms or Mavics has bigger problems to worry about.

Over-engineered? Perhaps, but it’s better than letting the menace of indoor drones go unanswered. And it’s far from the first sentry gun we’ve seen, targeting everything from cats to squirrels using lasers, paintballs, and even plain water.

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2019 Cornell Cup Winners Include Autonomous Boat, Flapping UAV, And Leaping Rover

For college-aged engineers and designers, finding a problem they’re truly passionate about early on could very well set the trajectory for an entire career. This is precisely the goal of the Cornell Cup, a competition that tasks applicants with solving a real-world problem in a unique and interesting way. From what we saw this is definitely working, as teams showed up with ornithopter-based quadcopters, robotic dinghies, forest fire sniffers, and high-jumping rovers.

With such an open ended approach, individual entries have a tendency to vary wildly, running the gamut from autonomous vehicles to assistive technology. No team feels pressured to pursue a project they aren’t truly invested in, and everyone’s the better for it.

Given such lofty goals, Hackaday was proud to sponsor the 2019 Cornell Cup. Especially as it so closely aligns with the product design focus of this year’s Hackaday Prize. Designing something which solves a real-world problem is definitely part of the formula when the goal is to reach large scale production. And after seeing the entries first-hand during the Finals at Kennedy Space Center, we think every one of them would be a fantastic entry into the Hackaday Prize.

I don’t envy the judges who ultimately had to narrow it down to just a few teams to take home their share of the nearly $20,000 awarded. Join me after the break for a closer look at the projects that ended up coming out on top.

Continue reading “2019 Cornell Cup Winners Include Autonomous Boat, Flapping UAV, And Leaping Rover”

Master’s UAV Project Takes Flight

Pushing the maker envelope all the way to the Master level, [Przemyslaw Brudny], [Marek Ulita], and [Maciej Olejnik] from the Politechnika Wroclawska in Poland packed a UAV full of custom sensor boards for their thesis project.

The Skywalker X-8 FPV drone underwent extensive modifications to accommodate the embedded systems as well as upgrading the chassis with carbon glass to withstand the high load and speeds they would need to perform their tests. The ailerons were customized for finer control of the drone. But for our money, it’s all the board design that supports those sensors which is really fun to delve into.

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Hackaday Prize Entry: Tracking Rhinos With UAVs

For his Hackaday Prize project, [tlankford01] is using RC planes and UAVs as an anti-poaching system for rhinos and elephants. It’s a laudable goal for sure, but the conditions of this use case make for some very interesting engineering challenges.

The design goals [tlandford] has set are relatively simple for a bush plane, but building a plane that can fly 200km with a 6kg payload and return to base is a challenge that isn’t usually taken up by RC enthusiasts. For this project, [tlandford] is using an entirely 3D printed airframe, with living hinges printed right into the control surfaces. That in itself is pushing the limits of amateur airframes, but [tlandford] isn’t stopping there.

This UAV system will be completely automated, with a single ground control system taking care of controlling a swarm of planes, pointing a tracking antenna, and connecting to the Internet for observation or control from anywhere in the world.

The project that has seen a lot of improvement since it was entered in last year’s Hackaday Prize. The addition of a completely 3D printed airframe is a big one, and replacing the RVJet with something that looks a bit more like a glider should increase the loiter times over the target. There’s a video of the Icarus flying available below. If you also have a UAV project entered in The Hackaday Prize, there is now one obvious choice of what music you should use.

The 2015 Hackaday Prize is sponsored by:

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Hackaday Prize Entry: Multispectral Imaging For A UAV

At least part of the modern agricultural revolution that is now keeping a few billion people from starving to death can be attributed to remote sensing of fields and crops. Images from Landsat and other earth imaging satellites have been used by farmers and anyone interested in agriculture policy for forty years now, and these strange, false-color pictures are an invaluable resource for keeping the world’s population fed.

The temporal resolution of these satellites is poor, however; it may be a few weeks before an area can be imaged a second time. For some uses, that might be enough.

For his Hackaday Prize entry (and his university thesis), [David] is working on attaching the same kinds of multispectral imaging payloads found on Earth sensing satellites to a UAV. Putting a remote control plane up in the air is vastly cheaper than launching a satellite, and being able to download pictures from a thumb drive is much quicker than a downlink to an Earth station.

Right now, [David] is working with a Raspberry Pi and a camera module, but this is just experimental hardware. The real challenge is in the code, and for that, he’s simulating multispectral imaging using Minecraft. Yes, it’s just a simulation, but an extremely clever use of a video game to simulate flying over a terrain. You can see a video of that separated into red, green, and blue channels below.


The 2015 Hackaday Prize is sponsored by:

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Copter rotor hub

UAV Coaxial Copter Uses Unique Drive Mechanism

Personal UAV’s are becoming ubiquitous these days, but there is still much room for improvement. Researchers at [Modlab] understand this, and they’ve come up with a very unique method of controlling pitch, yaw, and roll for a coaxial ‘copter using only the two drive motors.

In order to control all of these variables with only two motors, you generally need a mechanism that adjusts the pitch of the propeller blades. Usually this is done by mounting a couple of tiny servos to the ‘copter. The servos are hooked up to the propellers with mechanical linkages so the pitch of the propellers can be adjusted on the fly. This works fine but it’s costly, complicated, and adds weight to the vehicle.

[Modlab’s] system does away with the linkages and extra servos. They are able to control the pitch of their propellers using just the two drive motors. The propellers are connected to the motors using a custom 3D printed rotor hub. This hub is specifically designed to couple blade lead-and-lag oscillations to a change in blade pitch. Rather than drive the motors with a constant amount of torque, [Modlab] adds a sinusoidal component in phase with the current speed of the motor. This allows the system to adjust the pitch of the blades multiple times per rotation, even at these high speeds.

Be sure to watch the demonstration video below. Continue reading “UAV Coaxial Copter Uses Unique Drive Mechanism”