https://doi.org/10.1140/epjs/s11734-025-01953-w
Regular Article
Solar sail trajectory optimization for interplanetary missions: part II—neuro-fuzzy control
1
Department of Aerospace Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
2
Academy of Engineering, Peoples’ Friendship University of Russia (RUDN University), Miklukho-Maklaya str.6, 117198, Moscow, Russian Federation
a
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Received:
21
May
2025
Accepted:
1
September
2025
Published online:
20
September
2025
Abstract
This paper presents the development and validation of a neuro-fuzzy controller designed to approximate optimal solar sail steering laws for interplanetary transfers. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is trained using data obtained from offline trajectory optimization. The controller structure, rule base reduction using fuzzy subtractive clustering, and performance characteristics are detailed. Numerical simulations of Earth–Mars and Earth–Venus transfers demonstrate the neuro-fuzzy controller’s capability to approximate the optimal control performance with high accuracies. These results highlight the potential of neuro-fuzzy control approaches for the real-time autonomous guidance of solar sail missions.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
