Integrated cooperative guidance and control of strapdown missiles

This paper develops an innovative integrated cooperative guidance and control (ICGC) law for multiple strapdown missiles, and explicitly considers both the attitude dynamics and field-of-view (FOV) limitations of the seekers. First, a model is rigorously established using strict state feedback to incorporate attitude dynamics, which employs the body-line-of-sight (BLOS) angle to characterize the FOV constraints of strapdown seekers. We propose a nonlinear observer to precisely estimate aerodynamic disturbances, target maneuvers, and unmodeled dynamics. Using the BLOS angle as a critical variable for multi-missile cooperation, we derive a novel ICGC law based on the barrier lyapunov function and the dynamic surface control method. This law enables strategic cooperative geometries among multiple missiles attacking a single maneuvering target, with detailed proof of stability provided. Extensive numerical simulations demonstrate that the proposed ICGC law significantly enhances cooperative engagement capabilities, ensuring effective target attacks while adhering to the FOV constraints. This research substantially advances missile guidance and control systems, offering a robust framework for cooperatively engaging maneuvering targets.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Published
2024-10-24
DOI
https://doi.org/10.1177/09544100241292117
Citations
1
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated cooperative guidance and control of strapdown missiles

Jingjie Xie, Jun Zhou, Bin Zhao, Xiaoyang Huang et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Guidance and Control Systems
1.30
article

Integrated cooperative guidance and control of strapdown missiles

Jingjie Xie, Jun Zhou, Bin Zhao, Xiaoyang Huang, Wanli Zhao
article en
1 citations

Abstract

This paper develops an innovative integrated cooperative guidance and control (ICGC) law for multiple strapdown missiles, and explicitly considers both the attitude dynamics and field-of-view (FOV) limitations of the seekers. First, a model is rigorously established using strict state feedback to incorporate attitude dynamics, which employs the body-line-of-sight (BLOS) angle to characterize the FOV constraints of strapdown seekers. We propose a nonlinear observer to precisely estimate aerodynamic disturbances, target maneuvers, and unmodeled dynamics. Using the BLOS angle as a critical variable for multi-missile cooperation, we derive a novel ICGC law based on the barrier lyapunov function and the dynamic surface control method. This law enables strategic cooperative geometries among multiple missiles attacking a single maneuvering target, with detailed proof of stability provided. Extensive numerical simulations demonstrate that the proposed ICGC law significantly enhances cooperative engagement capabilities, ensuring effective target attacks while adhering to the FOV constraints. This research substantially advances missile guidance and control systems, offering a robust framework for cooperatively engaging maneuvering targets.

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace EngineeringVol. 239(6)
Northwestern Polytechnical University (CN), University of Warwick (GB)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Guidance and Control Systems
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.