Journal of Astronautics ›› 2021, Vol. 42 ›› Issue (1): 11-21.doi: 10.3873/j.issn.1000-1328.2021.01.002

Previous Articles     Next Articles

Review on Input Saturation in the Spacecraft Attitude Control

WANG Liang yue, GUO Yan ning, MA Guang fu,LIU Wei lin   

  1. Dept. of Control Engineering and Science, Harbin Institute of Technology, Harbin 150001China
  • Received:2019-11-27 Revised:2020-04-03 Online:2021-01-15 Published:2021-01-25
  • Supported by:
    国家自然科学基金(619731006167313561876050)

Abstract: The existing methods to solve the control input saturation problem are summarized and divided into three main technical approaches. Then systematically analyze and compare the design ideas, mathematical forms and working characteristics of each methods. Summarize and analyze the effectiveness and area of application of the three technical approaches mainly including as follow in order to provide effective support for practical tasks. 1) Control law considering saturation as a whole: including saturation function, limiting function, switching function, anti saturation control, etc. Due to the high efficiency of actuator and complex form, it is suitable for the fast attitude maneuver missions of spacecraft with high computing power and adjusting time. 2) Control law considering saturation every item separately, including PD type control, backstepping control, etc. This technical approach has simple design and insufficiently utilization of the actuator which is suitable for attitude regulation with no time requirement or low cost small satellites. 3) Optimization considering saturation constraints: including time/energy/fuel optimal control and hybrid index optimal control, etc. This approach, which has high computation and dependence on accurate mathematical model, is suitable for the optimal attitude maneuvers of large spacecraft because of solving multiple constraints optimal problem.

Key words: font-size:10.5pt, ">Spacecraft attitude controlfont-size:10.5pt, ">;Input saturationSaturation functionPD type controloptimization

CLC Number: