Classification and Feasibility Assessment of Infinitely Many Iso-Impulse Three-Dimensional Trajectories

Abstract In two-body dynamics, it is proven that for a sufficiently long flight time, generating infinitely many iso-impulse solutions is possible by solving a number of $$\Delta v$$ -allocation problems analytically. A distinct feature of these iso-impulse solutions is the existence of two impulse anchor positions (APs) that correspond to the locations of the impulses on time-free, phase-free, base solutions. In this paper, the existence and utility of three-impulse base solutions are investigated and their complete solution spaces are characterized and analyzed. Since two- and three-impulse base solutions exist, a question arises: How many APs should base solutions have? A strategy is developed for choosing base solutions, which offers a certificate for $$\Delta v$$ optimality of general three-dimensional time-fixed rendezvous solutions. Simultaneous allocation of $$\Delta v$$ at two and three APs is formulated, which allows for generating $$\Delta v$$ -optimal solutions while satisfying a constraint on individual impulses such that $$\Delta v \le \Delta v_\text {max}$$ . A key result is that all iso-impulse solutions can be classified into four layers: 1) base solutions, 2) feasible solution spaces, 3) solution families, and 4) solution envelopes. The method enables us to characterize the complete solution space of minimum- $$\Delta v$$ , iso-impulse, and three-dimensional trajectories under nonlinear two-body dynamics. To illustrate the utility of the method, geocentric examples are considered including the apogee-raising phase of the CAPSTONE mission subject to an operational constraint on the maximum magnitude of the individual impulses.

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Publication Details

Journal
The Journal of the Astronautical Sciences
Published
2025-09-26
DOI
https://doi.org/10.1007/s40295-025-00528-0
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Classification and Feasibility Assessment of Infinitely Many Iso-Impulse Three-Dimensional Trajectories

Ehsan Taheri, Keziban Şaloğlu
The Journal of the Astronautical Sciences
Robotic Path Planning Algorithms
article

Classification and Feasibility Assessment of Infinitely Many Iso-Impulse Three-Dimensional Trajectories

Ehsan Taheri, Keziban Şaloğlu
article en

Abstract

Abstract In two-body dynamics, it is proven that for a sufficiently long flight time, generating infinitely many iso-impulse solutions is possible by solving a number of $$\Delta v$$ -allocation problems analytically. A distinct feature of these iso-impulse solutions is the existence of two impulse anchor positions (APs) that correspond to the locations of the impulses on time-free, phase-free, base solutions. In this paper, the existence and utility of three-impulse base solutions are investigated and their complete solution spaces are characterized and analyzed. Since two- and three-impulse base solutions exist, a question arises: How many APs should base solutions have? A strategy is developed for choosing base solutions, which offers a certificate for $$\Delta v$$ optimality of general three-dimensional time-fixed rendezvous solutions. Simultaneous allocation of $$\Delta v$$ at two and three APs is formulated, which allows for generating $$\Delta v$$ -optimal solutions while satisfying a constraint on individual impulses such that $$\Delta v \le \Delta v_\text {max}$$ . A key result is that all iso-impulse solutions can be classified into four layers: 1) base solutions, 2) feasible solution spaces, 3) solution families, and 4) solution envelopes. The method enables us to characterize the complete solution space of minimum- $$\Delta v$$ , iso-impulse, and three-dimensional trajectories under nonlinear two-body dynamics. To illustrate the utility of the method, geocentric examples are considered including the apogee-raising phase of the CAPSTONE mission subject to an operational constraint on the maximum magnitude of the individual impulses.

The Journal of the Astronautical SciencesVol. 72(5)
Auburn University (US)
National Aeronautics and Space Administration, Alabama EPSCoR, Nuclear Safety and Security Commission, Office of Experimental Program to Stimulate Competitive Research
Openalex Percentile: Top 74%
Robotic Path Planning Algorithms
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