Journal of System Simulation
Abstract
Abstract: Parametric differential method is often used to extract resistance coefficient in the process of trajectory simulation research for aerial bomb. The method exists following problems: high precise original data required and influenced by measurement error easily, which would cause serious error in identification result and even lead to the radiation during identification. In order to solve these problems, a method of extracting resistance coefficient based on prediction error was modeled. While coordinate was used as observations, simulation research of model parameter identification was carried out for some bomb. Precision of calculation for two models was calculated and analyzed at different errors and interferences. The calculation results indicate that the method of extracting resistance coefficient based on prediction error has high calculation accuracy and strong anti-interference capacity, which sets a foundation for improving precision of trajectory simulation calculation.
Recommended Citation
Wu, Hongquan; Chi, He; Ping, Zhang; Wang, Shuen; Wei, Hongqiang; Jin, Chu; and Peng, Zhang
(2020)
"Simulation Research on Model Parameter Identification Based on Prediction Error,"
Journal of System Simulation: Vol. 28:
Iss.
4, Article 20.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss4/20
First Page
920
Revised Date
2015-04-27
DOI Link
https://doi.org/
Last Page
926
CLC
TJ013.2;TP391.9
Recommended Citation
Wu Hongquan, He Chi, Zhang Ping, Wang Shuen, Wei Hongqiang, Chu Jin, Zhang Peng. Simulation Research on Model Parameter Identification Based on Prediction Error[J]. Journal of System Simulation, 2016, 28(4): 920-926.
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