关键词: 数值虚拟飞行, 机器学习, BP神经网络, PID, 刚性重叠动网格

Abstract: In this paper, a method of numerical virtual flight with intelligent control based on machine learning is proposed. Com-bined with the case of the Basic Finner projectile model, the proposed algorithm is verified and evaluated. It shows that the pro-posed algorithm is feasible and has a good application prospect. Firstly, a CFD/RBD coupled numerical virtual flight simula-tion model based on overlapping dynamic mesh technology is constructed. According to the case of the Basic Finner projec-tile, the numerical simulation without control is carried out. Compared with the experimental data, the proposed numerical virtual flight simulation algorithm is verified and evaluated. It shows that the numerical simulation algorithm can be used in the design and evaluation of the control parameters in the numerical virtual flight environment. Secondly, The numerical simulations of the Basic Finner projectile's pitch channel are carried out under the traditional PID control strategy and the intelligent PID control strategy respectively. The PID intelligent controller based on BP neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters. Compared with the traditional PID controller, the concerned control variable over-shoot, rise time, transition time and steady-state error and other performance indicators have been greatly improved, and the higher the learning efficiency, the faster the system, the larger the overshoot, and the smaller the stability error.

Key words: numerical virtual flight, machine learning, BP neural network, PID, moving chimera grid