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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 2280-2286
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.2280
• Online since: November 2011
• Authors: Zhi Qiang Ma, Yuan Zeng Cheng, Shi Yu Sun, Chun Ping Wang
• Keywords: Closed-Loop Calibration, Effect Evaluation, Kalman Filter (KF), Miss Distance Prediction

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