拦截机动目标的自适应Super-Twisting协同制导律  

Adaptive Super-Twisting cooperative guidance law for intercepting maneuvering target

作　　者：王金强 刘玉祥 任韦[1] 刘伟[1] 廖志成 WANG Jinqiang;LIU Yuxiang;REN Wei;LIU Wei;LIAO Zhicheng(Jiangnan Institute of Mechanical and Electrical Design,Guiyang 550000,China)

机构地区：[1]江南机电设计研究所,贵州贵阳550000

出　　处：《飞行力学》2022年第2期74-80,共7页Flight Dynamics

基　　金：国防科工委重点基础研究项目(2019-JCJQ-ZD-049)。

摘　　要：针对多枚导弹协同拦截机动目标的问题,提出了一种自适应Super-Twisting协同制导律。首先,基于领从式策略建立了多弹在纵平面内的协同制导模型,并结合Super-Twisting控制算法和代数图论设计了鲁棒协同制导律。其次,利用RBF神经网络对目标机动能力进行自适应估计,同时设计在线调节增益函数抑制控制系统抖振。最终,基于李雅普诺夫直接法证明了整个制导控制系统的稳定性,并对4枚导弹协同拦截机动目标的情况进行数值仿真,仿真结果表明了所提协同制导律的有效性和优越性。To deal with the problem of multiple missiles cooperatively intercepting a maneuvering target, an adaptive Super-Twisting cooperative guidance law has been proposed. Firstly, a cooperative guidance model on the vertical plane has been established based on leader-follower formation strategy,and a robust cooperative guidance law has been designed via Super-Twisting algorithm and graph theory. Then, the maneuverability capability of target is estimated through RBF neural network, and an online adjustment gain function is designed to suppress the chattering of control system. Finally, stability of the cooperative guidance control system is guaranteed based on Lyapunov’s direct method, and numerical simulation results for four missiles intercepting maneuvering target are provided to demonstrate the effectiveness and superiority of the presented cooperative guidance law.

关 键 词：机动目标 协同制导律 Super-Twisting控制 RBF神经网络 自适应控制 

分 类 号：TJ765.3[兵器科学与技术—武器系统与运用工程]