Parameter identification for the International Space Station using nonlinear momentum management control Conference Paper uri icon

abstract

  • © 1997 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. A recursive least squares (RLS) identification algorithm to determine the inertia and aerodynamic parameters of the International Space Station has been applied to controlled maneuvers which seek the torque equilibrium attitude (TEA). Lyapunov stability theory is used to design the nonlinear momentum management control law. The RLS identification algorithm estimates the inertia and aerodynamic parameters from the attitude measurements and the control torques during the maneuver. This controller and its parameter estimation scheme are tested using a nonlinear rotational dynamics model of the International Space Station that includes external torques due to the gravity-gradient and aerodynamic drag. The aerodynamic drag moment is modeled such that the drag force and the center of pressure location are functions of the spacecraft attitude. Numerical results show that the TEA-seek maneuvers can generate sufficient excitation in the attitude during the maneuver such that the parameter estimates will converge to the true parameters.

author list (cited authors)

  • Carter, M., Vadali, S., Chamitoff, G., Carter, M., Vadali, S., & Chamitoff, G.

citation count

  • 3

publication date

  • August 1997