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Augmented Model Predictive Control: A Balance between Satellite Agility and Computation Complexity

Yiming Wang, Mihindukulasooriya Sheral Crescent Tissera, Haihong Yu, Kai Jie Ethan Foo, Sean Yeo Keyuan, Ankit Srivastava, Hao An

Abstract

Agile earth observation satellites employ multiple actuators to enable flexible and responsive imaging capabilities. While significant advancements in actuator technology have enhanced satellites' torque and momentum, relatively little attention has been given to control strategies specifically tailored to improve satellite agility. This paper provides a comparative analysis of different Model Predictive Control (MPC) formulations and introduces an augmented-MPC method that effectively balances agility requirements with hardware implementation constraints. The proposed method achieves the high-performance characteristics of nonlinear MPC while preserving the computational simplicity of linear MPC. Numerical simulations and physical experiments are conducted to validate the effectiveness and feasibility of the proposed approach.

Augmented Model Predictive Control: A Balance between Satellite Agility and Computation Complexity

Abstract

Agile earth observation satellites employ multiple actuators to enable flexible and responsive imaging capabilities. While significant advancements in actuator technology have enhanced satellites' torque and momentum, relatively little attention has been given to control strategies specifically tailored to improve satellite agility. This paper provides a comparative analysis of different Model Predictive Control (MPC) formulations and introduces an augmented-MPC method that effectively balances agility requirements with hardware implementation constraints. The proposed method achieves the high-performance characteristics of nonlinear MPC while preserving the computational simplicity of linear MPC. Numerical simulations and physical experiments are conducted to validate the effectiveness and feasibility of the proposed approach.
Paper Structure (15 sections, 25 equations, 7 figures, 4 tables)

This paper contains 15 sections, 25 equations, 7 figures, 4 tables.

Table of Contents

  1. INTRODUCTION
  2. Preliminaries
  3. Nonlinear Model
  4. Linearization
  5. Methodology
  6. Augmented Model
  7. Augmented-Constrained LMPC (CLMPC)
  8. Unconstrained LMPC (ULMPC)
  9. CLMPC
  10. NMPC
  11. Results and Discussion
  12. Simulation Scenario
  13. Simulation Results and Discussion
  14. Experimental Results and Discussion
  15. Conclusion

Figures (7)

  • Figure 1: Target latitude and longitude offsets in three phases.
  • Figure 2: Attitude error angle derived from quaternion error over ten Monte Carlo simulations.
  • Figure 3: Target observability percentage over ten Monte Carlo simulations.
  • Figure 4: Cumulative loss and energy consumption during phase III.
  • Figure 5: Experimental platform for satellite attitude determination and control system ULMPCfuture1.
  • ...and 2 more figures