Weapons systems future muzzle velocity neural network

Details Weapons systems future muzzle velocity neural network Weapons systems future muzzle velocity neural network

1992-05-08

1993-12-07

Bentley, Stephen C.

Ordnance

Mounts

Training mechanisms

395 22, F41G 314

Patent

active

052675025

ABSTRACT:
In a device and method for predicting a future muzzle velocity of an indirect fire weapon 3, 7 means 9, 11 responsive to a measurement of muzzle velocity are adapted to implement an adaptive empirical prediction method to predict the future muzzle velocity. The invention also relates to an aiming system and method for an indirect-fire weapon 3, 7. The system comprises a muzzle velocity measuring device 5, and predictor means 9, 11 responsive to an output of the muzzle velocity measuring device 5 for determining a new elevation setting from the weapon. Preferably, the predictor means utilizes an adaptive empirical prediction method such as a Kalman Filter or neural network.

REFERENCES:
patent: 3538318 (1970-11-01), Clutterbuck et al.
patent: 3848509 (1974-11-01), Corn
patent: 4457206 (1984-07-01), Toulios et al.
patent: 4914604 (1990-04-01), Castelaz
Castelaz, Patrick F., "Neual Networks in Defense Applications" IEEE Conference on Neural Networks, Jul. 24-27, 1988, pp. II-473 to II-480.
Druner, W. and Wegener, K. H., "Adaptive Control for Tank-Gun Stabilization," Scientific Honeyweller, 10(1989)Winter, No. 1, pp. 168-175.

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