Intelligent Fuzzy Control in Stabilizing Solar Sail with Individually Controllable Elements

被引：15

作者：

Chen, Lin ^{[1
]}

Fu, Xiaoyu ^{[2
]}

Ramil, Santos ^{[1
]}

Xu, Ming ^{[1
]}

机构：

[1] Beihang Univ, Beijing 100191, Peoples R China

[2] Univ Surrey, Surrey Space Ctr, Guildford GU2 7XH, Surrey, England

来源：

SPACE-SCIENCE & TECHNOLOGY | 2022年 / 2022卷

基金：

中国国家自然科学基金;

关键词：

DYNAMICS; DESIGN;

D O I：

10.34133/2022/9831270

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Fuzzy logical control is a robust and effective control method in industrial fields, which renders it applicable to the attitude control of a solar sail. However, it is hard to apply in black-box and time-varying problem as real solar sail attitude control. Considering the lack of a priori knowledge and the unacceptable manual workload in the design of the fuzzy logical controller (FLC), an intelligent FLC designer (IFLCD) is developed by introducing neural network modelling and automatic design method. Besides, IFLCD also supports self-adaption for better control accuracy. By applying the proposed IFLCD in the attitude stabilization of a solar sail with individually controllable elements (SSICE), an effective solution of unmanned, time-varying, and complex system control method is offered without any mathematical model, which also overcomes the difficulties in FLC design Considering the performance degradation, accident, and distance problems faced by spacecraft, IFLCD can help with more practical problems that are hard be solved by traditional control theory.

引用

页数：12

共 27 条

[1] Solar sail halo orbits at the Sun-Earth artificial L1 point [J].