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Showing posts from July, 2018

The obvious distraction to drone flight control research - Aerial videography

So the notion of upgrading my already awesome (if I can say so myself) looking drone to aerial videography using a 3-axis gimbal has been bugging me for a while now. I mean, why not? At least that will get me to fly the drone alot more and use it for other purposes. The fact that I only need a gimbal and a landing gear (given that I already have the awesome Gopro hero 4 silver), should be providential enough to just spend the dollars required to make this happen. But then one get's to think, why I am doing it for? I mean does my research of intelligent flight control ACTUALLY need aerial capability? One could argue that testing your software with a drone representative of an actual commercial drone could only enhance the validation/justification of the research.  But the ultimate question is, how MUCH distraction will this capability introduce to the essence of what the doctoral research is trying to achieve? Will I gain more information given that I've got now no

Folding arms on my quad - A game-changer

So i've been looking over the last few months how I can get to fly more of my quadcopter drone for both research and leisure. The major drawback of the 1.6kg drone is its form factor at the time. Being a H-frame quad with cross rotor length of over 80cm, I had to purchase 110L storage bin to keep it safe and damage-free. After much research I ended up a natural solution that would involved just a steel saw and good eye for detail. The other (obvious) requirement for this folding mechanism is that it should make the deployment time as fast as possible with a few if not no special equipment. This led the the solution of cutout the area around the second bolt of each arm to allow pivoting action on the first bolt. The cutout should also be such that bolt hole remains to be used as a stopper to maintain symmetry along the quad x and y axis. The high contact friction will be used to ensure the arms remain in the required position throughout a particular flight. After much sawing and

High Speed Videography for accurate Drone Rotor RPM estimation

So the notion that in order for me to proceed scientifically (and practically) towards the design of rotor dynamics identification algorithms that will run in real-time, I first need to model the effects of the rotor failure through experimentation. The two best ways of the doing this are (1) Buy a +R2k Tachometer and record (probably by  recording the display) the speed of the propeller with a pre-determined PWM value. (2) Use the high speed capability of an action cam (such as GoPro) and some clever algorithms to compute the propeller RPM. The latter is the cheaper (and the geekier) option of the two. The setup was such that contrast was created through the use of a black mat cloth on the setup table and painting the opposing blade of the propeller black and white (see below). A RGB (red-green-blue) adaptive algorithm was developed which would mitigate the occurrence of glares on the blade which would in turn give a false reading with the algorithm. Each frame was analyzed by