4.6 Article

Hamiltonian Structure-Based Formation Flight Control Along Low-Energy Transfer Trajectory

Journal

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
Volume 44, Issue 3, Pages 522-536

Publisher

AMER INST AERONAUTICS ASTRONAUTICS
DOI: 10.2514/1.G005294

Keywords

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Funding

  1. China Postdoctoral Science Foundation [2020M670166]
  2. National Natural Science Foundation of China [11902027, 11602297]
  3. Discipline Innovative Engineering Plan (111 Project)

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This paper investigates the three-dimensional formation-flying problem in multibody regime using the Hamiltonian structure-preserving (HSP) control strategy. By selecting a low-energy lunar halo transfer orbit as the reference trajectory, the study proposes a topology-type-dependent controller to address stability transitions and demonstrates its validity and robustness through Monte Carlo simulations.
This paper studies the three-dimensional formation-flying problem in multibody regime using the Hamiltonian structure-preserving (HSP) control strategy. A low-energy lunar halo transfer orbit is chosen as the reference trajectory, which can represent the dramatically varying dynamics in the vast Earth-Moon region, and demonstrates much more complex environments than the vicinity of libration points. This trajectory exhibits time-varying topology of four different types, with two new ones: saddle x saddle x center and complex saddle x complex saddle x center (to the authors' best knowledge, never studied in the literature). Stability transitions occur with a tremendous variation of the eigenvalues, bringing new challenges to effective formation controller design. To obtain bounded motion, topology-type-dependent HSP controller is proposed using the local stable/unstable manifolds. Difficulty arises in the transition regions, where close-to-zero real (complex) eigenvalues appear and require huge control gains, which may be infeasible for onboard computers. Accordingly, the controller is improved by considering additionally the local center manifold, and the gains required are always lower than 25. The controller is simple to implement because only position information is required, and its validity and robustness in the presence of initial deviations and navigation errors are verified by Monte Carlo simulations.

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