摘要
针对卫星姿控系统出现执行机构故障,提出一种基于迭代学习-未知输入观测器(iterative learning-unknown input observer,IL-UIO)的鲁棒故障重构方法。首先,考虑卫星出现空间干扰力矩、模型不确定性以及陀螺漂移,建立小角度机动时的非线性姿控系统模型。其次,采用UIO干扰解耦原理和H!控制思想,设计IL-UIO估计卫星姿态欧拉角和角速度的同时,利用IL算法实现执行机构鲁棒故障重构。并利用Lyapunov稳定性理论证明了IL-UIO稳定性和动态故障偏差最终有界,通过线性矩阵不等式(linear matrix inequaliry,LMI)工具箱求解了观测器部分参数矩阵。最后,建立卫星闭环姿控系统并进行仿真,仿真结果验证了此方法的有效性。
A robust fault reconstruction method based on the iterative learning-unknown input observer（IL-UIO） is proposed for actuator fault in satellite attitude control systems（ACS）.Firstly,considering space disturbance torque,model uncertainties and gyro drift,the nonlinear model of attitude control is established when a three-axis stability satellite runs in a small angle maneuver.Secondly,based on the disturbance decoupling principle of UIO and H∞ control theory,the IL-UIO is designed to estimate attitude Euler angles and angular velocities,and the IL algorithm is used to achieve actuator robust fault reconstruction.Using the Lyapunov stability theorem,the stability of IL-UIO and the ultimate boundedness of dynamic fault errors are proved,the parameter matrixes of IL-UIO are solved effectively in terms of linear matrix inequality（LMI） toolbox.Finally,mathematical simulation is performed to validate the solution in satellite closed-loop ACS,and simulation results demonstrate the effectiveness of the proposed algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第1期120-124,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(60874054)
微小型航天器技术国防重点学科实验室开放基金(HIT.KLOF2009092)资助课题
关键词
故障重构
卫星姿控系统
迭代学习观测器
未知输入观测器
fault reconstruction
satellite attitude control system（ACS）
iterative learning observer（ILO）
unknown input observer（UIO）
