Robust nonlinear predefined-time cooperative line-of-sight guidance law for active defense in three-body confrontation

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Qiang Qi , Chi Peng , Hanwen Zhang , Xiangwei Bu , Jianjun Ma
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引用次数: 0

Abstract

Conventional active guidance laws can achieve asymptotic or finite-time convergence of the line-of-sight (LOS) angle error. However, the convergence time is relatively conservative. In this article, we propose predefined-time (PT) sliding-mode (SM) convergence active defense guidance laws. Firstly, the proposed guidance law is designed based on a nonlinear LOS guidance framework, eliminating the assumption of small flight-path angles. Then, robust PT control theory is employed to achieve PT convergence of the SM surface. Moreover, two levels of cooperation between the target and the defender are introduced to enhance guidance performance. To minimize maximum overload, static optimization is incorporated in two-way cooperation by a performance index. The obtained guidance law does not require an observer or time-to-go estimation as compared to previous work. Additionally, our method can be applied not only in planar plane but also extended directly to three-dimensional geometry. Finally, we validate the effectiveness of our proposed strategies through comparative simulations.
三体对抗主动防御的鲁棒非线性预定义时间协同视距制导律。
传统的主动制导律可以实现视距角误差的渐近收敛或有限时间收敛。但收敛时间相对保守。本文提出了一种预定义时间(PT)滑模(SM)收敛主动防御制导律。首先,基于非线性目视制导框架设计了该制导律,消除了小航迹角假设;然后,利用鲁棒PT控制理论实现SM曲面的PT收敛。此外,为了提高制导性能,还引入了目标与防御者之间的两个层次的合作。为了使最大过载最小化,通过性能指标将静态优化纳入双向合作。与以往的研究相比,所得到的制导律不需要观测器或预估时间。此外,我们的方法不仅可以应用于平面,而且可以直接推广到三维几何。最后,通过对比仿真验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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