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采用ESO补偿的再入飞行器姿态预测控制方法
引用本文:王涛,张洪波,汤国建.采用ESO补偿的再入飞行器姿态预测控制方法[J].系统工程与电子技术,2018,40(7):1554-1559.
作者姓名:王涛  张洪波  汤国建
作者单位:1. 国防科技大学航天科学与工程学院, 湖南 长沙 410073; 2. 中国人民解放军32032部队, 北京 100094
摘    要:针对飞行器再入姿态运动设计了一种基于扩张状态观测器(extended states observer,ESO)的预测控制方法。为了降低系统的阶数,将姿态系统分成姿态角子系统和姿态角速率子系统,分别设计控制器。采用动态逆方法将运动方程线性化,并基于此推导了解析的最优预测控制律。为了提高控制器的精度和鲁棒性,采用ESO对模型误差和不确定扰动进行估计,并在预测控制律中进行补偿。最后证明了算法的稳定性。通过六自由度仿真分析,验证了控制方法的良好性能。


Predictive attitude control for entry vehicles with compensation of extended states observer
WANG Tao,ZHANG Hongbo,TANG Guojian.Predictive attitude control for entry vehicles with compensation of extended states observer[J].System Engineering and Electronics,2018,40(7):1554-1559.
Authors:WANG Tao  ZHANG Hongbo  TANG Guojian
Institution:1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;; 2. Unit 32032 of the PLA, Beijing 100094, China
Abstract:A predictive attitude control law for entry vehicles based on the extended states observer (ESO) is proposed. Attitude dynamics system is divided into attitude angle subsystem and attitude angle rate subsystem, which reduces the order of state equations. Then controllers are designed for each subsystem. Based on the dynamic inverse method the state equations are linearized. Then an analytical optimal predictive control law is deduced. To improve the robustness, ESO is introduced to estimate the model error and external disturbance. In the simulation of 6 freedom motion, the control law in this paper performs a good effect.
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