Real-time state estimation of low-frequency plasma oscillations in Hall effect thrusters

Abstract

An extended Kalman filter (EKF) is developed to estimate unobserved states and parameters in plasma dynamical systems. Physical constraints are satisfied by adapting the process and measurement noise covariances to account for consistency between the estimates and the physical processes. First, the EKF is tested using the Lorenz system to demonstrate the robustness of the EKF with sparse measurement data. Then, the capabilities of the EKF are applied to investigate discharge current oscillations in a Hall effect thruster. It is demonstrated that the dynamics of the electron temperature can be estimated using the discharge current fluctuation as the measurement data. The propagation of the uncertainties of such estimates is also quantified.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2021
Source ID
10.1063/5.0057751

Entities

People

  • Christine M. Greve
  • Kentaro Hara
  • Manoranjan Majji

Organizations

  • Air Force Office of Scientific Research
  • Stanford University
  • Texas A&M University

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Propulsion Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Microelectronics
  • Space
  • Space - Hall-Effect Thruster