南京航空航天大学学报（英文版）2022，Vol.39Issue(4)：389-399,11.
基于自调节迭代学习控制的柔性空间太阳能电站姿态控制
Attitude Control of a Flexible Solar Power Satellite Using Self?tuning Iterative Learning Control
摘要
Abstract
This paper proposes a self-tuning iterative learning control method for the attitude control of a flexible solar power satellite,which is simplified as an Euler-Bernoulli beam moving in space. An orbit-attitude-structure coupled dynamic model is established using absolute nodal coordinate formulation,and the attitude control is performed using two control moment gyros. In order to improve control accuracy of the classic proportional-derivative control method, a switched iterative learning control method is presented using the control moments of the previous periods as feedforward control moments. Although the iterative learning control is a model-free method,the parameters of the controller must be selected manually. This would be undesirable for complicated systems with multiple control parameters. Thus,a self-tuning method is proposed using fuzzy logic. The control frequency of the controller is adjusted according to the averaged control error in one control period. Simulation results show that the proposed controller increases the control accuracy greatly and reduces the influence of measurement noise. Moreover,the control frequency is automatically adjusted to a suitable value.关键词
迭代学习控制/姿态控制/空间太阳能电站/模糊控制Key words
iterative learning control/attitude control/solar power satellite/fuzzy control分类
航空航天引用本文复制引用
高远,邬树楠,李庆军..基于自调节迭代学习控制的柔性空间太阳能电站姿态控制[J].南京航空航天大学学报（英文版）,2022,39(4):389-399,11.基金项目
This work was supported by the Guangdong Basic and Applied Basic Research Foundation(No.2019A1515110730),the Young Elite Scientists Spon?sorship Program by China Association for Science and Tech?nology(No.2021QNRC001),and the Fundamental Re?search Funds for the Central Universities of Sun Yat-sen University(No.22qntd0703). （No.2019A1515110730）
