战斗机突击作战实时辅助决策研究

doi:10.3969/j.issn.0255-8297.2012.05.017

Abstract

Abstract:

Assistant decision-making is important in air fighter’s penetration attack, especially for pilots to lighten flying burden and reduce operation mistakes. The air fighter kinematic and dynamical models, and the threat constraint and fire control border constraint models are built. Based on these models, an assistant decision-making model for air fighter’s penetration attack is established. Using the Legendre pseudospectral method, the problem of calculating optimal control in assistant decision-making is converted to a nonlinear problem (NLP). The receding horizontal control (RHC) method is used to ensure that the calculation can be complete in real time. By improving the code feasible sequential quadratic programming (CFSQP) algorithm, optimal results of the NLP problem can be quickly searched. Simulation studies show that the real-time assistant decision-making strategy works well.

Key words: penetration attack, real-time assistant decision-making, optimal control, Legendre pseudospectral method

CLC Number:

V271.4

CHEN Zhong-qi, YU Lei, SUI Yong-hua, ZHOU Zhong-liang. Real-Time Assisted Decision-Making in Air Fighter’s Penetration Attack[J]. Journal of Applied Sciences, 2012, 30(5): 545-551.

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Real-Time Assisted Decision-Making in Air Fighter’s Penetration Attack

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