输入受限下的鲁棒微分博弈拦截制导律设计  

Robust differential game guidance law design of interception system with input constraints

作　　者：陈必露 刘春生[1] 高煜欣 CHEN Bilu;LIU Chunsheng;GAO Yuxin(College of Automation,NUAA,Nanjing 211106,China)

机构地区：[1]南京航空航天大学自动化学院,江苏南京211106

出　　处：《飞行力学》2022年第3期57-64,共8页Flight Dynamics

基　　金：国家自然科学基金资助(61473147);南京航空航天大学研究生创新基地(实验室)开放基金资助(kfjj20200312)。

摘　　要：研究了输入受限和匹配干扰约束下的导弹-目标拦截制导系统,提出了一种复合控制方案。首先,通过超螺旋干扰观测器估计匹配干扰,并依据观测器的估计结果设计了积分滑模控制器对干扰进行补偿。其次,结合微分博弈理论和自适应动态规划算法,设计单评价神经网络来求解微分博弈控制器,并利用Lyapunov稳定性理论证明了所提的复合控制策略保证了闭环系统和评价神经网络的稳定性。最后,对导弹-目标拦截系统进行建模仿真,验证了复合控制策略的有效性。In this paper, a composite control scheme is proposed to deal with the missile-target interception guidance system with input constraints and matched disturbance. Firstly, the matched disturbance is estimated by a super-twisting disturbance observer(STDO), and an integral sliding mode controller is designed to compensate the disturbance based on the result of STDO. Subsequently, a single critic neural network(NN) is designed to obtain the differential game control by combining the differential game theory and adaptive dynamic programming(ADP) algorithm, and the stability of the closed-loop system and critic NN are demonstrated by utilizing the Lyapunov direct method. Finally, the effectiveness of the proposed composite control scheme is proved by modeling and simulation using a missile-target interception system.

关 键 词：积分滑模控制 微分博弈 自适应动态规划 拦截制导律 

分 类 号：V249[航空宇航科学与技术—飞行器设计] TP273[自动化与计算机技术—检测技术与自动化装置]