A survey on low-thrust trajectory optimization approaches
Publicated to:Aerospace. 8 (3): - 2021-01-01 8(3), DOI: 10.3390/aerospace8030088
Authors: Morante D; Rivo MS; Soler M
Affiliations
Abstract
In this paper, we provide a survey on available numerical approaches for solving low-thrust trajectory optimization problems. First, a general mathematical framework based on hybrid optimal control will be presented. This formulation and their elements, namely objective function, continuous and discrete state and controls, and discrete and continuous dynamics, will serve as a basis for discussion throughout the whole manuscript. Thereafter, solution approaches for classical continuous optimal control problems will be briefly introduced and their application to low-thrust trajectory optimization will be discussed. A special emphasis will be placed on the extension of the classical techniques to solve hybrid optimal control problems. Finally, an extensive review of traditional and state-of-the art methodologies and tools will be presented. They will be categorized regarding their solution approach, the objective function, the state variables, the dynamical model, and their application to planetocentric or interplanetary transfers. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Aerospace due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 8/34, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Aerospace.
From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 5.34, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)
This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:
- Field Citation Ratio (FCR) from Dimensions: 18.21 (source consulted: Dimensions May 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-31, the following number of citations:
- Scopus: 71
- OpenCitations: 51