• DocumentCode
    3550769
  • Title

    A drag free control based on model predictive techniques

  • Author

    Prieto, David ; Ahmad, Zuheir

  • Author_Institution
    Dipt. di Autom. ed Informatica, Politecnico di Torino, Italy
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    1527
  • Abstract
    This paper presents a solution for the drag free control problem of the European satellite GOCE based on model predictive techniques. The approach followed during the orbit and attitude modelling yields to the decoupling of the plant´s six degrees of freedom into four linearized systems that include satellite´s dynamics, sensors and its corresponding noise profiles, actuators and its relative noise profiles and also, the characterization of the main exogenous disturbances (drag forces and torques). In the problem formulation are considered performance constrains in terms of the propulsion system activity, residual acceleration levels (linear and angular) and the spacecraft´s attitude angles. Also, it is presented the process to traduce the orbit and attitude performance requirements into specific mathematical constraints for the calculation of the optimal control law by means of predictive techniques. Simulation results using atmospheric drag profiles validated for this mission by Alenia Spazio (main mission contractor), are presented and analyzed in order to confirm the fulfilment of constraints and the performance requirements achieving.
  • Keywords
    aerospace control; aerospace propulsion; artificial satellites; drag reduction; optimal control; predictive control; European satellite; GOCE; attitude angles; drag free control; model predictive techniques; optimal control; propulsion system activity; residual acceleration level; Acceleration; Attitude control; Hydraulic actuators; Orbital calculations; Predictive models; Propulsion; Satellites; Sensor phenomena and characterization; Sensor systems; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470184
  • Filename
    1470184