Estimation of plasma properties using an extended Kalman filter with plasma global models

Greve, Christine M.; Hara, Kentaro

doi:10.1088/1361-6463/ac5c1c

Cited by 5 publications

(6 citation statements)

References 55 publications

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“…model-data fusion). Greve et al [24,25] recently showed the capability of the PC-EKF to dynamically estimate the ion and neutral number densities and electron temperature based on the ionization oscillation theory of [26]. The present work extends the PC-EKF by including the electron energy equation and taking the electron bulk velocity into account, enabling dynamic estimation of the anomalous electron scattering frequency.…”

Section: Introductionmentioning

confidence: 73%

State estimation of the dynamic behavior of plasma properties in a Hall effect thruster discharge

Troyetsky

Greve

Tsikata

et al. 2023

J. Phys. D: Appl. Phys.

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The dynamic behaviors of the plasma properties in a Hall effect thruster discharge channel are estimated using a physics-constrained extended Kalman filter (PC-EKF) with a zero-dimensional global plasma model. The state estimates obtained using the global plasma EKF model are augmented by experimental data, such as a discharge current signal. The use of state estimation allows for the determination of time-resolved plasma behaviors that may be difficult to measure experimentally, such as electron temperature and bulk velocity. The model is applied to investigate the plasma behavior at various thruster operating conditions, i.e., at varying discharge voltages and discharge currents. The estimated plasma properties are used to determine the classical electron collision frequency and the anomalous electron scattering frequency, which are shown to vary in time.

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Section: Introductionmentioning

confidence: 73%

State estimation of the dynamic behavior of plasma properties in a Hall effect thruster discharge

Troyetsky

Greve

Tsikata

et al. 2023

J. Phys. D: Appl. Phys.

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“…This may enable data-driven MPC with limited observables (cf. also PC-EKF 150,151 ). In addition, MPC schemes based on LSTM networks that have been successfully demonstrated in magnetic confinement fusion plasmas subject to inherent complex nonlinear dynamics by Degrave et al 194 may be promising candidates for adaptation in LTP processing.…”

Section: Data-driven Discharge Surrogate Modelingmentioning

confidence: 98%

“…The proposed scheme has been argued to benefit from improved robustness with the ability to estimate low-frequency dynamics in the presence of possibly not well resolved high-frequency dynamics (in the model or experiments). In a follow-up study also by Greve et al., 151 the PC-EKF approach was generalized to more complex Ar and Ar/normalO2 chemical reaction sets and global models of ICP sources. Particle balance equations as well as a power balance equation for electrons were taken into account.…”

Section: Reviewmentioning

confidence: 99%

Review: Machine learning for advancing low-temperature plasma modeling and simulation

Trieschmann,

Vialetto,

Gergs

2023

J. Micro/Nanopattern. Mats. Metro.

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Machine learning has had an enormous impact in many scientific disciplines. It has also attracted significant interest in the field of low-temperature plasma (LTP) modeling and simulation in past years. Its application should be carefully assessed in general, but many aspects of plasma modeling and simulation have benefited substantially from recent developments within the field of machine learning and datadriven modeling. In this survey, we approach two main objectives: (a) we review the state-of-the-art, focusing on approaches to LTP modeling and simulation. By dividing our survey into plasma physics, plasma chemistry, plasma-surface interactions, and plasma process control, we aim to extensively discuss relevant examples from literature. (b) We provide a perspective of potential advances to plasma science and technology. We specifically elaborate on advances possibly enabled by adaptation from other scientific disciplines. We argue that not only the known unknowns but also unknown unknowns may be discovered due to the inherent propensity of data-driven methods to spotlight hidden patterns in data.

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“…本实验中, 的概率小, 放电反应主要以两体反应为主 [32] , 而随着气压的升高, 空间内粒子密度大幅上升, 3个甚至更多的分子相互碰撞的概率升高, 三体反应纳入放电反应网络中并且发生的概率大幅上升. 以O 原子为例, 它可以通过如下三体反应路径进行转化 [13] :…”

Section: 图7所示为不同气压条件下所检测到的等离unclassified

“…图9所示为不同平均电子温度下的子能量分布函数 (electron energy distribution function, EEDF), 函数值由软件BOLSIG+ 计算得来. BOLSIG+是国际上常用的来计算等离子体碰撞截面和EEDF的软件, 在等离子体模拟仿真研究中得到了应用 [34−36] 波长为 337.1 nm的发射谱线来自于反应 (10)中的跃迁过程, 而N 2 (C 3 P u ) u′ = 0 是通过如下反应生成 [13] :…”

Section: 图7所示为不同气压条件下所检测到的等离unclassified

Reaction dynamic process of low pressure discharge plasma in microwave resonant cavity

Chen¹,

Peng²,

Wang³

et al. 2022

Acta Phys. Sin.

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Low-pressure discharge is an important issue that restricts the development of microwave components of spacecraft to high-power and miniaturization. To clarify the mechanism of low-pressure discharge of microwave components in spacecraft, we built an emission spectroscopy diagnostic platform for low-pressure RF discharge plasma, and investigated the plasma reaction dynamics of low-pressure RF discharge of microwave cavity resonators and the damage effect of discharge on microwave components. The emission spectra of the plasma inside the resonator under different gas pressure conditions were obtained, and it was found that the density of hydroxyl OH (A-X), excited nitrogen molecules N2 (C-B) and oxygen atoms O (3p5P→3s5S0) in the plasma showed a trend of increasing and then decreasing with the increase of gas pressure. The kinetic mechanism of the plasma reaction underlying this phenomenon was analyzed, and it was found that the gas pressure can influence the concentration magnitude of each species in the plasma by changing the species production and consumption paths as well as the average electron temperature of the plasma. The variation law of plasma emission spectra with the input power was studied, and the trend of linear increase of particle concentration with the increase of input power under different air pressure conditions was found. This study provides a reference for the investigation of the mechanism of low-pressure RF discharge and the reliability design of spacecraft microwave components.

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Estimation of plasma properties using an extended Kalman filter with plasma global models

Cited by 5 publications

References 55 publications

State estimation of the dynamic behavior of plasma properties in a Hall effect thruster discharge

State estimation of the dynamic behavior of plasma properties in a Hall effect thruster discharge

Review: Machine learning for advancing low-temperature plasma modeling and simulation

Reaction dynamic process of low pressure discharge plasma in microwave resonant cavity

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