基于BP神经网络的捷联导引头控制系统设计

滚仰式捷联导引头稳定平台控制器的设计,是导引头完成闭环控制对机动目标实现快速稳定跟踪的关键.导弹在对目标进行跟踪攻击时弹体本身常常处于复杂的运动状态,这就对滚仰式捷联导引头的稳定控制产生严重影响.针对这一问题,提出了一种基于BP神经网络的PID控制器用于滚仰式捷联导引头位置回路校正环节,建立了导引头稳定与跟踪一体化仿真模型.仿真结果表明,针对滚仰式捷联导引头设计的基于BP神经网络的PID控制器的动态性能优于传统PID控制器,由此建立的导引头稳定与跟踪一体化仿真模型可以实现对导引头的闭环控制,能够对机动目标实现快速稳定的跟踪,在实际工程应用中为滚仰式捷联导引头的控制提供有益的参考.

Control System Design Based on BP Neural Network for Strap-Down Seeker

The controller design of the roll-pitch strap-down stabilized platform is critical to complete closed loop control of the seeker and achieve rapid and stable tracking of the maneuvering target.When the missile is attacking on the target,it is often in complex motion,which creates a serious impact on the stability control of the roll-pitch strap-down seeker.To solve this problem,PID controller based on BP neural network is used for roll-pitch strap-down seeker position loop correction link.And the stability and tracking integrated model is established.Simulation results show that the dynamic performance of PID controller based on BP neural network is superior to traditional PID controller for the roll-pitch strap-down seeker.The simulation model of the stability and tracking integrated model can be adopted to the close loop control of the seeker and has stable quickly tracking ability for the maneuvering target.The model can provide a useful reference in the practical application for the control of the roll-pitch strap-down seeker.