期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 30, 期 8, 页码 3247-3256出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3111442
关键词
Space vehicles; Vibrations; Aerospace electronics; Fuzzy logic; Mathematical model; Earth; Stability analysis; Adaptive fuzzy control; event-triggered control; fuzzy logic system; hybrid partial differential equation (PDE)-ordinary differential equation (ODE) system; motion constraint
资金
- National Natural Science Foundation of China [62073030, 62073031, 62061160371]
- Beijing Natural Science Foundation [JQ20026]
- Postdoctor Research Foundation of Shunde Graduate School of University of Science and Technology Beijing (USTB) [2020BH002]
- Beijing Top Discipline for Artificial Intelligent Science and Engineering of USTB
This article introduces an adaptive fuzzy control approach with an event-triggered mechanism for a hybrid spacecraft system, aiming to regulate the angular velocities of the rigid body and stabilize the vibrations of the flexible panel. The event-triggered solution effectively reduces communication burden and the developed control strategy shows theoretical effectiveness and efficiency in numerical verification.
This article proposes an adaptive fuzzy control approach with an event-triggered mechanism and spatial motion constraint for a hybrid spacecraft system. The spacecraft system is composed of a rigid body and a slender flexible panel, with coupled dynamics captured by three ordinary differential equations and two partial differential equations. The overall control objective lies in utilizing an event-triggered control input to regulate the angular velocities of the rigid body and stabilize the vibrations of the flexible panel under unknown input disturbances and prescribed spatial motion performance. We collectively address the posture regulation and disturbance rejection purposes by introducing a barrier Lyapunov function and a fuzzy logic system. The event-triggered solution only updates the control signals at some discrete-time instants, and hence the communication burden is reduced significantly. The potential effectiveness and thrifty efficiency of the developed control strategy are theoretically demonstrated and numerically verified.
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