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Research Article

Orbital rendezvous performance comparison of differential geometric and ZEM/ZEV feedback guidance algorithms

Pengyu Wang1, Yanning Guo1, Bong Wie2( )
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Department of Aerospace Engineering, Iowa State University, Ames, IA 50011, USA
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Abstract

In this paper, the performance of two distinct classes of feedback guidance algorithms is evaluated for a spacecraft rendezvous problem utilizing a continuous low-thrust propulsion system. They are the DG (Differential Geometric) and ZEM/ZEV (Zero-Effort-Miss/Zero-Effort-Velocity) feedback guidance algorithms. Even though these two guidance algorithms do not attempt to minimize the onboard fuel consumption or Δ⁢V directly, the Δ⁢V requirement is used as a measure of their orbital rendezvous performance for various initial conditions and a wide range of the rendezvous time (within less than one orbital period of the target vehicle). For the DG guidance, the effects of its guidance parameter and terminal time on the closed-loop performance are evaluated by numerical simulations. For the ZEM/ZEV guidance, its near- fuel-optimality is further demonstrated for a rapid, short-range orbital rendezvous, in comparison with the corresponding open-loop optimal solutions. Furthermore, the poor Δ⁢V performance of the ZEM/ZEV guidance for a slow, long-range orbital rendezvous is remedied by simply adding an initial drift phase. The ZEM/ZEV feedback guidance algorithm and its appropriate variants are then shown to be a simple practical solution to a non-impulsive rendezvous problem, in comparison with the DG guidance as well as the open-loop optimal guidance.

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Astrodynamics
Pages 79-92

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Cite this article:
Wang P, Guo Y, Wie B. Orbital rendezvous performance comparison of differential geometric and ZEM/ZEV feedback guidance algorithms. Astrodynamics, 2019, 3(1): 79-92. https://doi.org/10.1007/s42064-018-0037-6

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Received: 06 June 2018
Accepted: 08 October 2018
Published: 14 December 2018
© Tsinghua University Press 2018