An intelligent control method based on artificial neural network for numerical flight simulation of the basic finner projectile with pitching maneuver

作     者：Yiming Liang Guangning Li Min Xu Junmin Zhao Feng Hao Hongbo Shi Yiming Liang;Guangning Li;Min Xu;Junmin Zhao;Feng Hao;Hongbo Shi

作者机构：Northwestern Polytechnical University School of AstronauticsXi’an 710072China China North Industries Group Corporation No 203 Research InstituteXi’an 710065China 

出 版 物：《Defence Technology（防务技术）》 (Defence Technology)

年 卷 期：2024年第32卷第2期

页      面：663-674页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

主　　题：Numerical virtual flight Intelligent control BP neural network PID Moving chimera grid 

摘      要：In this paper,an intelligent control method applying on numerical virtual flight is *** proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application ***,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is *** order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried *** simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight ***,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy *** intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight *** with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability *** intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.