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Auxiliary-system-based composite adaptive optimal backstepping control for uncertain nonlinear guidance systems with input constraints.
ISA Transactions ( IF 7.3 ) Pub Date : 2020-08-06 , DOI: 10.1016/j.isatra.2020.07.042
Jingliang Sun 1 , Chunsheng Liu 2
Affiliation  

This paper addresses a missile–target interception guidance process considering acceleration saturation and target maneuver as a constrained nonlinear tracking issue. A dynamic auxiliary system is designed for compensating the effects of constrained input, and external disturbances are counteracted through designing a nonlinear disturbance observer (NDO). The feedforward+feedback composite architecture is built in which a feedforward backstepping control and a feedback optimal control is presented recurrently. Furthermore, the parameter adaptive updating laws are derived to estimate the unknown functions online. Subsequently, the boundedness of the closed-loop signals are guaranteed. The predefined cost function is also ensured to be minimized. Furthermore, the control input is prevented violating its boundary. The contrastive simulation results demonstrate that the robustness of the proposed method is more superior to the nonsingular terminal sliding mode (NTSM) and the proportional navigation (PN) methods.



中文翻译:

具有输入约束的不确定非线性制导系统的基于辅助系统的复合自适应最优后推控制。

本文讨论了将加速度饱和和目标机动作为约束非线性跟踪问题的导弹-目标拦截制导过程。设计了一种动态辅助系统来补偿受约束的输入的影响,并通过设计非线性干扰观测器(NDO)来抵消外部干扰。建立了前馈+反馈复合体系结构,其中递归地给出了前馈反推控制和反馈最优控制。此外,推导参数自适应更新定律以在线估计未知函数。随后,确保了闭环信号的有界性。还确保将预定义的成本函数最小化。此外,防止了控制输入违反其边界。

更新日期:2020-08-06
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