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Increase of accuracy of linear accelometers using of artificial neural network

Bezvesilnaja E., Podchashinsky Y.

Zeszyty Naukowe Politechniki Rzeszowskiej. Mechanika

2010

z. 80 [274]

17-24

In the article the algorithmic method of increase of accuracy of linear accelerometers is considered. In the gyroscopic accelerometer the angle of deviation of a sensing element consists of a constant and variable making. The constant making is proportional to acceleration, which is considered constant on an interval of one measurement. Variable making is determined by precessions of a sensing element. In conditions of presence of correlated distortion of determined and random character it is necessary with high accuracy to define values of a constant making. This problem is solved in the article because of method of a maximum probability. The realization of algorithm of identification of an angular rule of a sensing element because of artificial neural network application is offered. This network contains a delay line and three adaptive linear neurons. The procedures of training and adaptation of a network provide additional error reduction in non-stationary and unfavorable conditions. The obtained outcomes can be used for a construction of high-precision navigational and gravimetric systems.

Modernizacja zespołów sterowania rakiet przeciwlotniczych

Oniszk P., Śmigielski J.

Problemy Techniki Uzbrojenia

2002

R. 31, z. 81

37--43

W artykule przedstawiono propozycje zamiany dotychczas używanych czujników przyśpieszeń liniowych w rakietach przeciwlotniczych na nowe czujniki oparte o technikę cyfrową.