Work

Intelligent Perturbation-Driven control methodology for Low-Thrust satellite constellation systems

Year: 2026

Type: article

Abstract: This study proposes a closed-form dynamical modeling and intelligent control methodology for low-thrust RGT-Walker satellite constellations. By analytically incorporating the first-order secular J 2 perturbations, the presented dynamic framework enables unified ground track maintenance and precise constellation-wide control based on the reference trajectory. The hybrid Intelligent Perturbation-Driven (IPD) Control system, combining Proportional-Derivative (PD) feedback and real-time environmental disturbance learning via Long Short-Term Memory (LSTM) networks, maximizes adaptive thrust scheduling and fuel efficiency. Numerical simulations under both nominal and worst-case disturbance scenarios validate stable orbit maintenance, 50 % reduction in propellant consumption, and a twofold extension of mission lifetime. This methodology offers a robust and scalable academic foundation for advancing the autonomy, efficiency, and precision of next-generation low-thrust electric propulsion satellite constellation operations.

Source: Ain Shams Engineering Journal

DOI: 10.1016/j.asej.2026.104282

Author: Soung Sub Lee

Institution: Sejong University

Language: English

Topic: Spacecraft Dynamics and Control

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funders: Sejong University, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion