摘要
针对具有模型不确定性的导弹拦截问题,研究了结合预设性能控制的复合学习方法。首先,建立了导弹拦截的制导控制一体化模型。为了保证对双方脱靶量的约束,基于预设性能函数来保证跟踪性能。考虑系统中的模型不确定性,为了提高系统在不确定性下的精度,构造了一种复合学习律来在线估计系统的未知非线性函数。最后,通过Lyapunov分析,证明了系统的稳定性。经过仿真验证,所提出的算法可保证成功拦截目标,并能保证跟踪误差在规定的性能曲线之内,证明了该算法的有效性。
Aiming at the missile interception problem with model uncertainty,a composite learning method combined with prescribed performance control is studied.Firstly,an integrated guidance and control model for missile interception is constructed.To ensure the constraint on the miss distance between the two sides,the prescribed performance function is utilized to guarantee the tracking performance.To improve the system accuracy against the model uncertainty,a composite learning law is constructed to estimate the unknown nonlinear functions of the system online.Finally,through Lyapunov analysis,the system stability is proved.Simulation results show that the proposed algorithm can successfully intercept the target and keep the tracking error within the specified performance curve,which demonstrates the effectiveness of the algorithm.
作者
闫天
程昊宇
高萌靖
郭雨岩
许斌
YAN Tian;CHENG Haoyu;GAO Mengjing;GUO Yuyan;XU Bin(Unmanned System Research Institute,Northwestern Polytechnical University,Xi′an 710072,China;School of Automation Science and Engineering,South China University of Technology,Guangzhou 510641,China;School of Automation,Northwestern Polytechnical University,Xi′an 710072,China)
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2024年第5期753-761,共9页
Journal of Astronautics
基金
国家自然科学基金(62303380)
中央高校基础研究基金。
关键词
预设性能控制
复合学习方法
导弹拦截
制导控制一体化
模型不确定性
Prescribed performance control
Composite learning
Missile interception
Integrated guidance and control
Model uncertainty
