Time-Varying Sliding Mode Based Fixed-Time Missile Guidance and Attitude Control With Impact Angle Constraints

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-11-07 DOI:10.1002/rnc.7694
Shenghui Wei, Shenmin Song
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Abstract

Considering an unpowered missile diving to intercept a maneuvering target, a novel fixed-time guidance and attitude control algorithm is proposed. First, the second-order derivatives of the aerodynamic angles are directly linked to the fin deflections, which can avoid the tracking of missile body angle rate instruction in the traditional methods. Second, a novel fixed-time time-varying parameter nonsingular terminal sliding mode guidance law is proposed, which can avoid control input singularity without switching to the polynomial form when the error approaches the origin. Third, a new global time-varying sliding mode with a predefined convergence time and analytical solution is developed to design the attitude controller. The system states are proved to be fixed-time convergence based on the Lyapunov stability theory. Six-degree-of-freedom simulations are conducted to validate the superiority of the proposed algorithm in terms of miss distance, impact angle error, interception time and control energy.

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基于时变滑模的定时导弹制导与姿态控制
针对无动力导弹俯冲拦截机动目标的问题,提出了一种新的定时制导和姿态控制算法。首先,气动角的二阶导数直接与尾翼挠度挂钩,避免了传统方法中对弹体角率指令的跟踪;其次,提出了一种新的定时时变参数非奇异终端滑模制导律,该律在误差接近原点时避免了控制输入的奇异性而无需切换到多项式形式;第三,提出了一种具有预定义收敛时间和解析解的全局时变滑模来设计姿态控制器。利用李雅普诺夫稳定性理论证明了系统状态是定时收敛的。通过六自由度仿真,验证了该算法在脱靶距离、冲击角误差、拦截时间和控制能量等方面的优越性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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