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

被引:10
作者
Greve, Christine M. [1 ]
Majji, Manoranjan [1 ]
Hara, Kentaro [2 ]
机构
[1] Texas A&M Univ, Dept Aerosp Engn, College Stn, TX 77843 USA
[2] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA
关键词
EXTENDED KALMAN FILTER; NEURAL-NETWORKS; MODEL;
D O I
10.1063/5.0057751
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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. Published under an exclusive license by AIP Publishing.
引用
收藏
页数:12
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