Fuzzy-Based Control Method for Autonomous Spacecraft Inspection with Minimal Fuel Consumption

TL;DR

This paper presents a fuzzy inference system combined with bio-inspired optimization to develop an energy-efficient control method for autonomous spacecraft inspection, minimizing fuel use while ensuring reliable operation within various constraints.

Contribution

It introduces a novel fuzzy-based control approach optimized with bio-inspired techniques for energy-efficient spacecraft inspection, incorporating learning capabilities.

Findings

Reduced fuel consumption demonstrated in simulations

Maintained reliable inspection under constraints

Validated effectiveness through Monte Carlo simulations

Abstract

This study explores an energy-efficient control strategy for spacecraft inspection using a fuzzy inference system combined with a bio-inspired optimization technique to incorporate learning capability into the control process. The optimized fuzzy controller produces a minimally fuel-consuming force while maintaining reliable inspection within constraints, such as illumination, restricted field of view, thrust limits, and safe regions. The performance of the proposed control strategy is validated through Monte Carlo simulations.