Helicopter

Evolutionary Altitude Control for a Helicopter Using Atmega644

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.

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Neural Net Helicopter Using Atmega32

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

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Autonomous Stabilization System For a Coaxial Helicopter using Atmel Mega32

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

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Behlman Delivers On Its Promise by Providing Power Supplies for the U.S. Navy LAMPS MH-60R Helicopter Program

Hauppauge, NY (PRWEB) January 29, 2007 Behlman Electronics Inc., known for its leadership in providing power products for military industrial, and commercial applications, has delivered on the promise it made in 1997, when Behlman undertook a unique program to design a power supply to meet performance requirements that some believed were unattainable.   The result

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