.png){kind=icon}
.png){kind=icon}
Return
Integrated distributed formation control of moving mass flight vehicles
.png){kind=icon}
OA
AI
Z
C
R
J
H
DOI：10.1016/j.dt.2026.07.015.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Swarms of moving mass flight vehicles (MMFVs) offer significant potential for high-speed cooperative maneuvering missions in atmospheric environments, yet impose considerable challenges on control system design. This paper explores the formation control issue of multi-MMFV systems under distributed communications. Firstly, a composite vehicle configuration that combines moving masses with differential ailerons is proposed and modeled to support coordinated maneuvers. Secondly, in contrast to conventional formation control methods that disregard the internal attitude control loop, we introduce an integrated formation control framework to handle the multi-layered, cross-timescale couplings unique to MMFV swarms, enabling direct generation of actuator commands from formation tracking inputs. Thirdly, an adaptive neural backstepping sliding mode control law is developed to account for the system's high-order nonlinearities, uncertainties and disturbances. The prior knowledge of uncertainty bounds is eliminated by using radial basis function neural networks, and the approximation error bounds of which are dynamically updated through the designed adaptation laws. Finally, the uniform ultimate boundedness (UUB) of the closed-loop formation system is proven, and comprehensive simulations under diverse conditions validate the superior performance of the proposed formation control strategy.
Keywords:
Moving mass control
Swarm systems
Formation control
Integrated control
Distributed communications
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.9
Papers:
1.9K
Citations:
6.4K
Organization
Cited Papers