飞控与探测2023，Vol.6Issue(4)：56-63,8.
基于模糊神经网络干扰观测器的组合体航天器姿态控制
Fuzzy Neural Network Disturbance Observer Based Attitude Control for Combined Spacecraft
摘要
Abstract
A fuzzy neural network disturbance observer(FNNDO)based nonsingular terminal sliding mode(NTSM)finite-time control strategy is proposed for a combined spacecraft attitude control system in the presence of counteraction torque output for non-cooperative targets.Firstly,the attitude mathematical model of combined spacecraft is established with the service spacecraft as the reference,and then a FNNDO with adaptive capability is designed for the generalized disturbance torque including inertial uncertainty,counteraction torque,etc.,which can achieve effective tracking of the generalized disturbance.Based on the FNNDO,the NTSM controller is designed to demonstrate the finite-time stability of the closed-loop system using Lyapunov theory.Finally,the simulation results show the effectiveness of the control strategy and the superiority of the observer in the observation perform-ance.关键词
组合体航天器/非合作目标/干扰观测器/模糊神经网络/非奇异终端滑模/有限时间Key words
combined spacecraft/non-cooperative target/disturbance observer/fuzzy neural network/nonsingular terminal sliding mode/finite-time分类
信息技术与安全科学引用本文复制引用
孙懿诚,颜艳腾,张勇,吕跃勇..基于模糊神经网络干扰观测器的组合体航天器姿态控制[J].飞控与探测,2023,6(4):56-63,8.基金项目
国家重点研发计划(2020YFB1506700) （2020YFB1506700）
空间智能控制技术实验室开放基金(HTKJ2022KL502012) （HTKJ2022KL502012）
