26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-5.8.2

SIMULATION OF A NON-AXISYMMETRIC UNDERSEA VEHICLE USING A RECURSIVE NEURAL NETWORK

D. E. Hess, W. E. Faller*, J. Lee, J. W. Broncheau**
Naval Surface Warfare Center, USA; *Applied Simulation Technologies, USA; **Northrop Grumman Shipbuilding, USA

Keywords: real-time simulation, neural network, non-body-of-revolution vehicle

We discuss the application of a nonlinear time domain technique, based on a recursive neural network approach, to simulate the six degree-of-freedom motion of an advanced non-axisymmetric undersea vehicle. The results are excellent. They demonstrate a faster-than-real-time simulation capability and allow advanced, predictive control strategies to be explored.

view full paper