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Solar sail trajectory optimization for interplanetary missions: part ii—neuro-fuzzy control


Citation

Varatharajoo, Renuganth and Chak, Yew Chung and Razoumny, Vladimir (2025) Solar sail trajectory optimization for interplanetary missions: part ii—neuro-fuzzy control. European Physical Journal: Special Topics, 234 (25). pp. 7907-7916. ISSN 1951-6355; eISSN: 1951-6401

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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Additional Metadata

Item Type: Article
Subject: Materials Science (all)
Subject: Physics and Astronomy (all)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1140/epjs/s11734-025-01953-w
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Solar sail; Trajectory optimization; Interplanetary missions; Neuro-fuzzy control; Adaptive Neuro-Fuzzy Inference System (ANFIS); Steering laws; Fuzzy clustering; Earth-Mars transfer; Earth-Venus transfer; Autonomous guidance
Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure, SDG 13: Climate Action, SDG 17: Partnerships for the Goals
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 19 Apr 2026 07:15
Last Modified: 19 Apr 2026 07:15
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1140/epjs/s11734-025-01953-w
URI: http://psasir.upm.edu.my/id/eprint/124075
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