scholarly journals Prediction of Discharge Current using Neural Network in Hall Thruster

2018 ◽  
Vol 66 (5) ◽  
pp. 143-145
Author(s):  
Hirotaka Fuchigami ◽  
Masatoshi Chono ◽  
Naoji Yamamoto
Keyword(s):  
Neural Network ◽  
Discharge Current ◽  
Hall Thruster

scholarly journals Background Pressure Effects on the Performance of a 20 kW Magnetically Shielded Hall Thruster Operating in Various Configurations

Aerospace ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 69
Author(s):  
Antonio Piragino ◽  
Farbod Faraji ◽  
Maryam Reza ◽  
Eugenio Ferrato ◽  
Annalisa Piraino ◽  
...  
Keyword(s):  
Mass Flow ◽  
Discharge Current ◽  
Pressure Effects ◽  
Hall Thruster ◽  
Physical Processes ◽  
Linear Behavior ◽  
Mass Flow Rates ◽  
Anode Mass ◽  
Lower Background ◽  
Operating Regimes

The paper reports the characterization results of a 20 kW-class magnetically shielded Hall thruster in three different configurations and operating with a centrally mounted cathode. The characterization was carried out at two different pumping speeds in SITAEL’s IV10 vacuum chamber, resulting in two different background pressure levels for each tested operating point. A linear behavior of discharge current and thrust values versus the anode mass flow rate was noticed for both pumping speeds levels and for all the three configurations. In addition, the thrust and discharge current values were always found to be lower at lower background pressure levels. From the performance levels, a preliminary estimate of the ingested mass flow rates was performed, and the values were then compared to a recently developed background flow model. The results suggested that, for this thruster and in the tested operating regimes, the change in performance due to background pressure could be ascribed not only to the ingestion of external mass flow coming from the chamber but also to other physical processes caused by the flux of residual background neutrals.

scholarly journals Numerical and Experimental Investigation of Longitudinal Oscillations in Hall Thrusters

Aerospace ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 148
Author(s):  
Vittorio Giannetti ◽  
Manuel Martín Saravia ◽  
Luca Leporini ◽  
Simone Camarri ◽  
Tommaso Andreussi
Keyword(s):  
Discharge Current ◽  
Fluid Model ◽  
Low Frequency ◽  
Hall Thruster ◽  
Hall Thrusters ◽  
Current Signal ◽  
Plasma Parameters ◽  
Plasma Properties ◽  
Breathing Mode ◽  
Spatio Temporal

One of the main oscillatory modes found ubiquitously in Hall thrusters is the so-called breathing mode. This is recognized as a relatively low-frequency (10–30 kHz), longitudinal oscillation of the discharge current and plasma parameters. In this paper, we present a synergic experimental and numerical investigation of the breathing mode in a 5 kW-class Hall thruster. To this aim, we propose the use of an informed 1D fully-fluid model to provide augmented data with respect to available experimental measurements. The experimental data consists of two datasets, i.e., the discharge current signal and the local near-plume plasma properties measured at high-frequency with a fast-diving triple Langmuir probe. The model is calibrated on the discharge current signal and its accuracy is assessed by comparing predictions against the available measurements of the near-plume plasma properties. It is shown that the model can be calibrated using the discharge current signal, which is easy to measure, and that, once calibrated, it can predict with reasonable accuracy the spatio-temporal distributions of the plasma properties, which would be difficult to measure or estimate otherwise. Finally, we describe how the augmented data obtained through the combination of experiments and calibrated model can provide insight into the breathing mode oscillations and the evolution of plasma properties.

scholarly journals Numerical Analysis of the Sheath Structure and Discharge Current Oscillation in an Anode-Layer Hall Thruster

2006 ◽  
Vol 54 (632) ◽  
pp. 413-418
Author(s):  
Shigeru Yokota ◽  
Shinsuke Yasui ◽  
Ken Kumakura ◽  
Kimiya Komurasaki ◽  
Yoshihiro Arakawa
Keyword(s):  
Numerical Analysis ◽  
Discharge Current ◽  
Current Oscillation ◽  
Hall Thruster ◽  
Anode Layer ◽  
Sheath Structure

scholarly journals Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
A. Sadighzadeh ◽  
A. Salehizadeh ◽  
M. Mohammadzadeh ◽  
F. Shama ◽  
S. Setayeshi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Discharge Current ◽  
Back Propagation ◽  
Ann Model ◽  
Back Propagation Algorithm ◽  
Cathode Voltage ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Maximum Voltage

Artificial neural network (ANN) is applied to predict the number of produced neutrons from IR-IECF device in wide discharge current and voltage ranges. Experimentally, discharge current from 20 to 100 mA had been tuned by deuterium gas pressure and cathode voltage had been changed from −20 to −82 kV (maximum voltage of the used supply). The maximum neutron production rate (NPR) of 1.46 × 107 n/s had occurred when the voltage was −82 kV and the discharge current was 48 mA. The back-propagation algorithm is used for training of the proposed multilayer perceptron (MLP) neural network structure. The obtained results show that the proposed ANN model has achieved good agreement with the experimental data. Results show that NPR of 1.855 × 108 n/s can be achieved in voltage and current of 125 kV and 45 mA, respectively. This prediction shows 52% increment in maximum voltage of power supply. Also, the optimum discharge current can increase 1270% NPR.

Application of Spread Spectrum for Discharge Current Oscillation in TAL-type Hall Thruster

2021 ◽  
Vol 20 (0) ◽  
pp. 91-96
Author(s):  
Kenshin Nagamine ◽  
Ryota Takahashi ◽  
Taichiro Tamida ◽  
Haruki Takegahara ◽  
Akira Kakami
Keyword(s):  
Discharge Current ◽  
Spread Spectrum ◽  
Current Oscillation ◽  
Hall Thruster

scholarly journals Suppression of Discharge Current Oscillations in a Hall Thruster

2005 ◽  
Vol 48 (161) ◽  
pp. 169-174 ◽  
Author(s):  
Naoji YAMAMOTO ◽  
Shigeru YOKOTA ◽  
Keiko WATANABE ◽  
Akihiro SASOH ◽  
Kimiya KOMURASAKI ◽  
...  
Keyword(s):  
Discharge Current ◽  
Hall Thruster ◽  
Current Oscillations
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