Award Data

The study of neural networks which possess the capability to learn and grow with little or no supervision will be explored during this research effort. These networks exhibit ontogenic behavior and are termed ontogenic neural networks. This reasearch effort explores the use of hybrid neural network structures which are capable of self-organization, feature discovery and self generation in a compos ...

During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

We will design a flowpath and a neural network based propulsion system controller for LoFlyte I, a remotely piloted vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). This work will be the first step to a highly innovative RAM/SCRAM propulsion system and to a propulsion controller for the ultimate aircraft in the LoFlyte Unmanned Autonomous Vehicle (UAV) program seri ...

The purpose of this proposal is to develop a new generation of "SMART" neurocontrol actuator systems for use on hypersonic aircraft. Develop a testbed to see that the actuator system will work. This will also optimize and scale the testbed vehicle sizing. This concept using adaptive neural network technology will improve performance and behavior for hypersonic aircraft like the National AeroSpace ...

The manufacture of composite materials for use as high confidence components in aircraft has resulted in a requirement for rigorous defect analysis. This proposal researches the use of neural network technology combined with Laser Ultrasonics to provide the quality assurance inspector with the capability of identifying potential defects in composite structures. Neural network technology is used to ...

Accurate Automation proposes to design and develop the architecture for an instrumentation system for hypersonic aircraft. We will design an instrumentation system for use in a Mach 8-10 hypersonic testbed for the HyTech engine. We will investigate the feasibility of incorporating a plasma generation capability into this instrumentation system. We will develop an enhanced instrumentation system ...

A special purpose robot to remove corrosion from the interior surfaces of the ductwork in AEDC's Engine Test Facility (ETF) will be designed and developed. The robot willimplemnt the Laser Induced Surface Improvement (LISI) process which alloys the interior surface of the ductwork with a chromimum compound. The system will include a remotely operated robot capable of traversing the ETF ductwork, ...

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