Overview For our ECE 4760 project, we developed a self learning 1 degree of freedom (DOF) helicopter using a neural network learning algorithm and infrared (IR) distance measurement. The primary goal is to increase the helicopter height to a desired level in the quickest amount of time and with the least amount of learning trials. […]
Evolutionary Altitude Control for a Helicopter Using Atmega644 Read More »
Introduction The purpose of our project is to control a toy helicopter using flex sensors attached to a glove. The flex sensors are intended to replace the remote control that is generally used to fly the helicopter. Additionally we also created another mode which will allow us to use an accelerometer to control the forward
Flexicopter Using Atmega644 Read More »
Introduction and High Level Design Our project was to design a two degree-of-freedom stationary helicopter, autonomously controlled by an evolving neural network. A normal helicopter has six degrees of freedom, which makes any form of control exceptionally hard, let alone autonomous control. What our design does is limit the movement of our system to just
Neural Net Helicopter Using Atmega32 Read More »
Introduction For our ECE 476 final project we developed an autonomous stabilization system for a coaxial helicopter with tri-radial tilt control designed for stability. The purpose of this project was the design of a fully autonomous stabilization system intended for systems capable of intelligent programming and navigation. This means that the design focuses mainly on the control
Autonomous Stabilization System For a Coaxial Helicopter using Atmel Mega32 Read More »
