Optimizing MEMS-based navigation sensors for aerospace vehicles

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Abstract

This comprehensive study delves deeply into the intricate domain of optimizing Micro-electromechanical Systems (MEMS)-based navigation sensors for aerospace vehicles. It entails a meticulous examination of MEMS sensors, focusing on their role in guidance, navigation, and control, with particular emphasis on MEMS inertial sensors and crucial performance metrics. The study investigates a spectrum of techniques for sensor optimization, including strategies for enhancing fabrication and production through smart structures and mathematical modeling. Additionally, it explores methodologies and mechanisms for improving navigation sensor fabrication, along with the incorporation of optimizer techniques to manage computational complexities effectively. The key findings underscore the challenges tied to material selection and structural intricacies in optimizing these sensors for aerospace applications. Integration of sensors into integrated circuits, development of advanced mathematical models, and harmonization with artificial intelligence algorithms are vital for boosting sensor performance, while calibration and error mitigation during user deployment are essential. Furthermore, the study underscores the imperative for addressing limitations in sensor accuracy and precision through refined calibration mechanisms and error correction processes. The trajectory for future research involves advancing material selection, mathematical models, and innovative calibration techniques to comprehensively enhance sensor performance and reliability in aerospace applications.

About the authors

Ali Alizadeh

RUDN University; K.N. Toosi University of Technology

Author for correspondence.
Email: ali.rim.alizadeh@gmail.com
ORCID iD: 0009-0006-0673-1893
SPIN-code: 1755-9674

M.S Student of Control in Technical Systems-Space Engineering of the Department of Mechanics and Control Processes, Academy of Engineering, RUDN University; M.S Student of Space Engineering, Faculty of Aerospace Engineering, K.N. Toosi University of Technology

Moscow, Russia; Tehran, Iran

Olga A. Saltykova

RUDN University

Email: saltykova-oa@rudn.ru
ORCID iD: 0000-0002-3880-6662
SPIN-code: 3969-6707

Ph.D. of Physico-mathematical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering

Moscow, Russia

Alireza B. Novinzadeh

K.N. Toosi University of Technology

Email: novinzadeh@kntu.ac.ir
Ph.D. of Space Engineering, Associate Professor and Head of the Department of Space Engineering, Faculty of Aerospace Engineering Tehran, Iran

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