TR2018-117

Low-thrust GTO-to-GEO trajectory optimization and tracking


In this work, we consider the problem of low-thrust GTO-to-GEO osculating trajectory optimization and tracking. We exploit analytical solutions available in the averaged planar problem and use homotopy methods to obtain fuel- and time-optimal osculating trajectories using direct numerical optimal control tool GPOPS-II. We employ an attitude controller for tracking the thrust vector profile obtained from the optimal trajectories, while maintaining desired solar panel alignment. We simulate the operation of our controller numerically using MATLAB and the high-fidelity Systems Tool Kit (STK) software, and show satisfactory tracking performance of the controller.

 

  • Related News & Events

    •  TALK   MERL Low-Thrust GEO Satellite Control talk at Stanford University
      Date & Time: Thursday, February 14, 2019; 1:30 -3:00 PM
      Speaker: Avishai Weiss, MERL
      MERL Hosts: Stefano Di Cairano; Uroš Kalabić; Avishai Weiss
      Research Area: Control
      Brief
      • Avishai Weiss from MERL's Control and Dynamical Systems group will give a talk at Stanford's Aeronautics and Astronautics department titled: "Low-Thrust GEO Satellite Station Keeping, Attitude Control, and Momentum Management via Model Predictive Control". Electric propulsion for satellites is much more fuel efficient than conventional methods. The talk will describe MERL's solution to the satellite control problems deriving from the low thrust provided by electric propulsion.
    •