Innovative Exploration of a Bio-Inspired Sensor Fusion Algorithm: Enhancing Micro Satellite Functionality through Touretsky's Decentralized Neural Networks

Insect-inspired sensor fusion algorithms have presented a promising avenue in the development of robust and efficient systems, owing to the insects' ability to process numerous streams of noisy sensory data. The ring attractor neural network architecture has been identified as a noteworthy mode...

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Bibliographic Details
Published in:Journal of intelligent & robotic systems 2024-06, Vol.110 (2), p.60, Article 60
Main Authors: Hassani. N, S. M. Mehdi, Roshanian, Jafar
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Biomimetics
Control
Electrical Engineering
Engineering
Insects
Mechanical Engineering
Mechatronics
Microsatellites
Multisensor fusion
Neural networks
Regular Paper
Robotics
Sensors
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Summary:Insect-inspired sensor fusion algorithms have presented a promising avenue in the development of robust and efficient systems, owing to the insects' ability to process numerous streams of noisy sensory data. The ring attractor neural network architecture has been identified as a noteworthy model for the optimal integration of diverse insect sensors. Expanding on this, our research presents an innovative bio-inspired ring attractor neural network architecture designed to augment the performance of microsatellite attitude determination systems through the fusion of data from multiple gyroscopic sensors.Extensive simulations using a nonlinear model of the microsatellite, while incorporating specific navigational disturbances, have been conducted to ascertain the viability and effectiveness of this approach. The results obtained have been superior to those of alternative methodologies, thus highlighting the potential of our proposed bio-inspired fusion technique. The findings indicate that this approach could significantly improve the accuracy and robustness of microsatellite systems across a wide range of applications.
ISSN:1573-0409
0921-0296
1573-0409
DOI:10.1007/s10846-024-02089-0