Advancing precision in multiagent systems: a neuromorphic approach with spiking neural network-modified sliding innovation filter

Reza Ahmadvand; Sara Safura Sharif; Yaser Mike Banad

doi:10.1117/12.3008351

9 May 2024 Advancing precision in multiagent systems: a neuromorphic approach with spiking neural network-modified sliding innovation filter

Reza Ahmadvand, Sara Safura Sharif, Yaser Mike Banad

Author Affiliations +

Proceedings Volume 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024; 129490T (2024) https://doi.org/10.1117/12.3008351
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Abstract

In the realm of multi-spacecraft missions, crew transport and satellite tasks require precision in rendezvous maneuvers. A robust navigation system becomes essential for addressing uncertainties in space robotic modeling. This study presents a novel approach by leveraging neuromorphic computing, introducing the Spiking Neural Network-Modified Sliding Innovation Filter (SNN-MSIF) for satellite rendezvous in circular orbit. The SNN-MSIF combines the efficiency of neuromorphic computing with MSIF's robustness, enhancing accuracy and stability. Utilizing Clohessy-Wiltshire equations, the model captures relative motion between spacecraft. Monte Carlo simulations are used to compare the SNN-MSIF with SNN-Kalman filters and their non-spiking counterparts, showcasing the superior accuracy and stability of our approach. The evaluation of their robustness under uncertaintie1s and neuron silencing demonstrates their reliability. The findings establish SNN-MSIF as an effective, efficient, and promising filtering framework for space robotics, refining navigation, and addressing multi-spacecraft challenges.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Reza Ahmadvand, Sara Safura Sharif, and Yaser Mike Banad "Advancing precision in multiagent systems: a neuromorphic approach with spiking neural network-modified sliding innovation filter", Proc. SPIE 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024, 129490T (9 May 2024); https://doi.org/10.1117/12.3008351

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