Identification-compensation approach for unknown disturbances via the estimate model of numerical differentiation

Author

Yang, Yikang ; Huang, Yongxuan ; Zhu, Zhuanmin ; Li, Jisheng

Author_Institution

Inst. of Syst. Eng., Xi´´an Jiaotong Univ., China

Volume

1

fYear

2002

fDate

2002

Firstpage

758

Abstract

Researching the characteristic of macroscopical motion, numerical differentiation is introduced to describe the dynamics of an unknown kinematic process, then the estimation model of numerical differentiation (NDEM) is constructed. Robust and simple models can be created by this approach for various applications, and it is easy to select suitable estimation algorithms to satisfy estimate quality. In the paper, NDEM is established for the guidance process of spacecraft rendezvous and docking (RVD) disturbed by unknown inputs, the kinematic parameters of RVD are captured for guiding outputs, and the unknown disturbances are estimated for active compensation. Simulation results show that NDEM is a robust model for obtaining accurate state estimation, and the precision of RVD guidance is immune from the unknown disturbances by the compensated control law.

Keywords

Kalman filters; compensation; differentiation; filtering theory; kinematics; space vehicles; state estimation; active compensation; compensated control law; estimate model; estimate quality; guidance process; identification-compensation approach; macroscopical motion; numerical differentiation; robust model; spacecraft docking; spacecraft rendezvous; state estimation; unknown disturbances; unknown kinematic process; Acceleration; Force; Kinematics; Motion analysis; Motion estimation; Numerical models; Robustness; Space vehicles; State estimation; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1022217

Filename

1022217