Products Overview


Processor Modules


I/O Expansion Modules


Systems


Enclosures & Accessories


Software


Custom Products

Board Solutions


System Solutions


Standard Product Variants


Ruggedization


Custom Boards


Lifecycle Extension

Aerospace/Defense


Energy


Industrial Automation


Instrumentation


Medical


Transportation

Support Overview


Technical Resources


Contact Technical Support


Request an RMA

About Diamond Systems


The Diamond Advantage


Markets & Applications


News


Career Opportunities







3.5" Form Factor
PC/104
PC/104-Plus
PCI/104-Express
COM Express
EPIC
ARM SBCs and Baseboards
Single Board Computers
I/O Modules
Power Supplies
Single Board Computers
I/O Modules
Power Supplies
I/O Modules
Single Board Computers
Cables
PC/104
Adapters
PC/104
PC/104-Plus
PCIe MiniCard
PC/104
PC/104-Plus
PCIe MiniCard
PC/104
PC/104-Plus
PCI/104-Express
PCIe MiniCard
PC/104-Plus
PCIe MiniCard
PC/104-Plus
PCIe MiniCard
I/O Modules
Single Board Computers
I/O Modules
PC/104
PC/104-Plus
PC/104
Com Express
Com Express Mini
Single Board Computers
Ethernet Switches
Nano and NX Solutions
AGX Xavier Module Solutions
TX2 / TX2i Module Solutions
you are not logged in:
login | signup
lost password?
Whitepapers

Designing Embedded Computers for Rugged Applications

Application Articles

Building Automation
Paper Processing
Train Controller
Wind Instrument
Lung Simulator
Gas Analyzer
Weapon System

Visit our Markets & Applications page.

Sign Up for our eNewsletter Today!





Neural Adaptive Flight Control Testing on an Unmanned Experimental Aerial Vehicle

Untitled Document

Unmanned Aerial Vehicles have demonstrated potential as being effective platforms for supporting scientific and exploratory missions. They are capable of performing long endurance flights, and reaching remote areas that may be too dangerous for humans. As their role and types of missions expand, challenges are presented which require onboard systems to have increasingly higher levels of intelligence and adaptability. Missions requiring radical reconfiguration to carry mission-specific payloads, or operations under uncertain or unknown flight conditions, will require intelligent flight controllers that are capable of being deployed with minimal prior testing. This paper describes the testing of a neural adaptive flight controller that was designed to provide consistent handling qualities across flight conditions and for different aircraft configurations. The controller was flight tested on an unmanned experimental aerial vehicle, without the benefit of extensive gain tuning or explicit knowledge of the aircraft’s aerodynamic characteristics. An overview of the neural adaptive flight controller is presented, along with a description of the experimental aerial vehicle test platform, and flight test results that demonstrate a dramatic improvement in handling qualities resulting from neural adaptation.

To read all the details of this article, click here.




Click here to return to the main article list.