Semantic Scholar Open Access 2025

Data Assimilation to Estimate the State of Partially Ionized Plasmas in Space Propulsion Systems

K. Hara Anubhav Dwivedi

Abstrak

Spacecraft electric propulsion plays a critical role in in-space missions. Understanding the state of the ionized gas, i.e., plasmas, is important for the characterization of thruster performance and the lifetime. In this talk, we present the recent development of data assimilation (DA) framework that estimates state variables and parameters obtained from a physics-based dynamical model with noisy experimental data. We have developed DA techniques based on variants of Kalman filters to estimate state and parameters in plasma systems governed by coupled nonlinear ordinary and partial differential equations.

Penulis (2)

K. Hara

Anubhav Dwivedi

Format Sitasi

APA MLA BibTeX

Hara, K., Dwivedi, A. (2025). Data Assimilation to Estimate the State of Partially Ionized Plasmas in Space Propulsion Systems. https://doi.org/10.12783/shm2025/37401

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: Semantic Scholar
DOI: 10.12783/shm2025/37401
Akses: Open Access ✓