空间科学学报2017，Vol.37Issue(3)：332-337,6.DOI:10.11728/cjss2017.03.332
带极点配置的LQR算法在空间站力矩平衡姿态控制中的应用
Application of LQR Algorithm with Pole Placement in TEA Control for Space Station
摘要
Abstract
While designing the Torque Equilibrium Attitude (TEA) controller,a plant model for space station control,including attitude dynamics and momentum management,is concatenated with rejection filters to counteract the attitude undulation due to specified frequency disturbances.A modified Least Quadratic Regulator (LQR) algorithm with pole placement is adopted for the linearized motion model.This approach places close-looped poles in a margined fan-like region with its span angle defined by a specified integer and margin distance to the imaginary axis by a positive scalar.One pair of algebra Riccati equations can be solved with two-stage iterations,and the state weight matrix as well as the feedback gain matrix is calculated during the procedure.Desirable dynamic and stable performance can be obtained when this approach is tried upon this coupled model.关键词
力矩平衡姿态(TEA)/动量管理/LQR算法/代数Riccati方程Key words
Torque Equilibrium Attitude (TEA)/Momentum management/Least Quadratic Regulator (LQR) algorithm/Algebra Riccati Equation (ARE)分类
航空航天引用本文复制引用
李新峰,张涛..带极点配置的LQR算法在空间站力矩平衡姿态控制中的应用[J].空间科学学报,2017,37(3):332-337,6.基金项目
重大任务专项“空间站应用总体设计”项目资助(Y3140611PN) （Y3140611PN）
