空气动力学学报2024，Vol.42Issue(11)：86-99,14.DOI:10.7638/kqdlxxb-2023.0143
基于BP神经网络的弹射座椅姿态控制律设计
An attitude control scheme for ejection seats based on BP neural network
王敏 1吴威涛 1封锋 1陈军 1吴明雨2
作者信息
- 1. 南京理工大学机械工程学院,南京 210094
- 2. 南京理工大学瞬态物理重点实验室,南京 210094
- 折叠
摘要
Abstract
In order to improve the life-saving performance of the fourth-generation ejection seat under unfavorable conditions at low altitudes,we developed a dynamic model for free flight of the ejection seat and a dual-channel attitude control model for the ejection seat with low-to-medium ejection speeds.An attitude control scheme based on the above models using back-propagation(BP)neural network proportion integration differentiation(PID)controller was further proposed to control the pitching and rolling attitudes of the ejection seat.The proposed scheme uses a genetic algorithm to design a parameter optimization model for the ejection seat attitude control,which generates a set of optimal PID control parameters corresponding to different ejection states.Based on this dataset,a BP neural network model was developed and trained to directly predict the PID parameters for the attitude control of the ejection seat with low-to-medium ejection speeds.Finally,the PID controller outputs two sets of rudder deflection angles of the gas rudder thrust-vector nozzle.The lift and drag forces generated by the deflection of the gas rudder act on the ejection seat's dynamic model,thereby adjusting the attitude of the ejection seat during the free-flight phase.The control scheme,validated by MATLAB/Simulink with different initial ejecting speeds,pitch angles,and roll angles,successfully adjusted the pitching and rolling attitudes of the ejection seat to normal values during the free flight within the rocket package's working time,demonstrating the promising application prospects of the proposed attitude control scheme for ejection seats with low-to-medium ejection speeds.关键词
BP神经网络/姿态控制/弹射座椅/PID控制参数/数值仿真/气动特性Key words
BP neural network/attitude control/ejection seat/PID control parameters/numerical simulation/aerodynamic characteristics分类
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王敏,吴威涛,封锋,陈军,吴明雨..基于BP神经网络的弹射座椅姿态控制律设计[J].空气动力学学报,2024,42(11):86-99,14.
