Research of Closed-Loop Calibration Model Based on Kalman Filtering Algorithm

Abstract:

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The firing calibration of Artillery fire control system with closed-loop calibration manner can improve the firing accuracy significantly. The miss distance prediction is the theory core of closed-loop calibration. Whether the prediction algorithm of closed-loop calibration corrects or not is directly related to the calibration’s success or failure. Mainly for the external error sources not caused by fire control computer system, this paper established a closed-loop calibration model based on Kalman filtering algorithm, researched the specific implementation process of algorithm model, and applied the MATLAB software simulating the model. Simulation results show that the closed-loop calibration model based on Kalman filtering algorithm can significantly inhibit firing error and is a feasible algorithm and provides a good theoretical basis for forecasting error.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

2280-2286

DOI:

10.4028/www.scientific.net/AMR.383-390.2280

Citation:

Z. Q. Ma et al., "Research of Closed-Loop Calibration Model Based on Kalman Filtering Algorithm", Advanced Materials Research, Vols. 383-390, pp. 2280-2286, 2012

Online since:

November 2011

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Price:

$35.00

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