• DocumentCode
    3352191
  • Title

    Fixed-point constrained Model Predictive Control of spacecraft attitude

  • Author

    Guiggiani, Alberto ; Kolmanovsky, Ilya ; Patrinos, Panagiotis ; Bemporad, Alberto

  • Author_Institution
    IMT Inst. for Adv. Studies, Lucca, Italy
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    2317
  • Lastpage
    2322
  • Abstract
    The paper develops a Model Predictive Controller for constrained control of spacecraft attitude with reaction wheel actuators. The controller exploits a special formulation of the cost with the reference governor like term, a low complexity addition of integral action to guarantee offset-free tracking of attitude set points, and an online optimization algorithm for the solution of the Quadratic Programming problem which is tailored to run in fixed-point arithmetic. Simulations on a nonlinear space-craft model demonstrate that the MPC controller achieves good tracking performance while satisfying reaction wheel torque constraints. The controller also has low computational complexity and is suitable for implementation in spacecrafts with fixed-point processors.
  • Keywords
    actuators; attitude control; computational complexity; fixed point arithmetic; nonlinear control systems; predictive control; quadratic programming; space vehicles; wheels; MPC controller; attitude set points; computational complexity; fixed-point arithmetic; fixed-point constrained model predictive control; fixed-point processors; integral action; nonlinear spacecraft model; offset-free tracking; online optimization algorithm; quadratic programming problem; reaction wheel actuators; reaction wheel torque constraints; reference governor; spacecraft attitude; tracking performance; Attitude control; Computational modeling; Magnetic materials; Photonic crystals; Predictive models; Space vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171078
  • Filename
    7171078