Spatial statistical point prediction guidance for heating-rate-limited aeroassisted orbital transfer

Pradipto Ghosh, Bruce A Conway

Research output: Contribution to journalArticle

Abstract

Feedback control of constrained non-linear dynamical systems satisfying a certain optimality criterion and meeting a specified transfer objective in the state space is recognized as one of the most challenging problems in control theory. One approach to computing optimal feedback policies is the dynamic programming route of numerically solving the Hamilton-Jacobi-Bellman (HJB) partial differential equation directly. In this paper an alternate and more tractable dynamic programming approach, the optimal feedback synthesis method, is utilized. The effectiveness of this method is demonstrated through an explicit guidance scheme for the heating-rate-constrained maneuver of an Aeroassisted Transfer Vehicle (AOTV). In optimal feedback synthesis, a feedback chart is constructed from a family of open-loop extremals, thus ensuring optimality with respect to any initial condition in the family. This paper presents a solution to the AOTV optimal feedback synthesis problem using the Gaussian process spatial prediction method of universal kriging. A closed-form expression for a near-optimal guidance law is derived. Its performance is found to be very promising; initial atmospheric entry errors due to simulated thruster misfiring are seen to be accurately corrected while the algebraic state-inequality constraint is closely respected.

Original languageEnglish (US)
Pages (from-to)257-269
Number of pages13
JournalActa Astronautica
Volume111
DOIs
StatePublished - Jan 1 2015

Keywords

  • Feedback guidance
  • Kriging
  • Optimal feedback control
  • Particle Swarm Optimization
  • Spatial statistics
  • Trajectory optimization

ASJC Scopus subject areas

  • Aerospace Engineering

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