Abstract
This paper proposes a novel hybrid data-driven modeling method for missiles. Based on actual flight test data, the missile hybrid model is established by combining neural networks and the mechanism modeling method, considering the uncertainties and nonlinear factors in missiles. This method can avoid the problems in missile mechanism modeling and traditional data-driven modeling, and can also provide a solution for nonlinear dynamic system modeling problems in offline usage scenarios. Finally, the feasibility of the proposed method and the credibility of the established model are verified by simulation experiments and statistical analysis.
Highlights
The missile is the leader in the family of precision-guided weapons
To verify the feasibility of the proposed modeling method, the data collected by missile mathematical model established by the mechanism analysis is used as flight test data, and the missile hybrid model is established by hybrid data-driven modeling method
Determine the main random disturbance factors encountered during the missile flight and determine its distribution law; Simulation target practice of missile is done with Monte Carlo method, and the data of the n collected random trajectories is taken as the flight test data of n ballistic trajectory; According to the hybrid data-driven modeling method proposed in this paper, the data of each random ballistic trajectory collected in step 3 is used to establish a missile hybrid model
Summary
The missile is the leader in the family of precision-guided weapons. It shows extraordinary combat capability in local wars and has become the protagonist of weapons in modern high-tech warfare [1,2,3]. Once the actual system output value is missing, the established identification model will not work This kind of data-driven modeling method which does not consider the internal mechanism of the system and completely relies on a large amount of experimental data to determine the quantitative relationship between the input and output of the system, is generally applied to the online usage scenarios [29]. Few scholars have conducted in-depth research on the modeling of complex nonlinear systems in offline usage scenarios, but its significance in the field of missile modeling is significant To solve this problem, this paper establishes a missile hybrid model based on flight test data, which can simulate the missile flight characteristics and can be used for simulation and model verification.
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