摘要
舰载导弹在大气小扰动下容易出现控制失稳,通过控制优化设计,提高导弹制导的稳定性。针对传统的PID神经网络模糊控制精度较低的问题,提出一种基于小扰动抑制和参数自整定误差修正的舰载导弹制导控制优化算法,首先构建舰载导弹的被控对象模型和纵向运动数学模型,根据控制约束参量进行舰载导弹制导控制约束参量分析,然后采用小扰动抑制方法进行扰动误差和控制参量的自整定修正,实现控制算法优化设计。最后通过仿真实验进行性能测试,仿真结果表明,采用该控制方法进行舰载导弹的小扰动抑制和制导控制设计,降低了导弹的轨迹输出误差,俯仰角等运动参量的跟踪性能较好,提高了控制品质。
The stability of missile guidance under the small disturbance of the atmosphere is improved by controlling the optimal design. For the low precision problem in the traditional PID neural network fuzzy control, put forward a shipborne missile guidance and control optimization algorithm based on small disturbance suppression and parameter self setting error correction. The first step is the construction of shipbased missile controlled object model and vertical motion mathematical model, based on the analysis of current carrying missile guidance and control constraint parameters of ship. Then the small disturbance rejection method for disturbance error and control parameters self tuning correction to achieve control algorithm is used to optimize the design. Finally, the simulation experiments are performed to test performance. Simulation results show that using the control method realize shipborne missile small disturbance suppression and guidance and control design, reduce the output error of missile trajectory, achieve the good pitch angle motion parameter tracking performance, and improve the control quality.
作者
邓异
DENG Yi(No. 91640 Troops of PLA, Zhanjiang Guangdong 524064, China)
出处
《智能计算机与应用》
2016年第5期20-23,共4页
Intelligent Computer and Applications
关键词
舰载导弹
小扰动
制导控制
俯仰角
shipboard missile
small disturbance
guidance and control
pitch angle
