基于扰动映射转换与神经网络PID的相控阵导引头复合控制
Composite control of a phased array seeker using disturbance mapping transformation and neural network PID
黄启轩 1周嘉星 1杨鸿杰 2李伟 2姚佑鑫1
作者信息
- 1. 厦门理工学院电气工程与自动化学院,福建厦门 361000;厦门市高端电力装备及智能控制重点实验室,福建厦门 361000
- 2. 西北工业大学航天学院,陕西西安 710072;陕西省空天飞行器设计重点实验室,陕西西安 710072
- 折叠
摘要
针对两轴相控阵导引头在比例制导过程中,弹体三轴扰动角速度影响目标稳定跟踪问题,提出了一种扰动映射转换与BP神经网络PID的复合控制方法.首先,利用转换矩阵把横滚、俯仰和偏航的合成角速度扰动分解到视轴坐标系上,根据三者的空间关系计算其合扰动,并等效映射到俯仰和方位的合扰动中;然后,对俯仰和方位的合扰动进行解算,并采用BP神经网络PID对俯仰和方位电机进行控制,快速消除解算后的扰动.仿真结果表明,所提出的复合控制方式可快速隔离扰动,保持视轴稳定,具有抗干扰能力强的优势.
Abstract
For the problem of three-axis disturbance angular velocity affecting the stable tracking of the target during the proportional guidance process of the two-axis phased array seeker,a composite control method that combines disturbance mapping transformation and back propagation neural net-work proportional integration differentiation(BPNN-PID)is proposed.Firstly,the synthetic angular velocity disturbance of traverse roll,pitch and yaw is decomposed into the line-of-sight(LOS)axis coordinate system using a transformation matrix.Their combined disturbance is calculated according to the spatial relationship of the three axes and is mapped equivalently to the combined disturbance of pitch and azimuth.Then,the combined disturbances of pitch and azimuth are solved,and the pitch and azimuth motors are controlled using the BPNN-PID control to quickly eliminate the solved disturbance.Simulation results show that the proposed composite control method can quickly isolate the disturbance,ensuring the stability of the LOS axis,and it exhibits robustness.
关键词
扰动映射转换/相控阵导引头/BP神经网络PID/复合控制Key words
disturbance mapping transformation/phased array seeker/BPNN-PID/composite control引用本文复制引用
基金项目
国家自然科学基金(52075446)
厦门市科技计划资助项目(3502Z20227072)
福建省自然科学基金(2022J05286)
福建省教育厅资助项目(JAT210343)
厦门理工学院高层次人才科研启动资助项目(YKJ22019R)
出版年
2024
NETL
NSTL
万方数据