High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster
The Cusped Field Thruster (CFT) concept has demonstrated significantly improved performance over the Hall Effect Thruster and the Gridded Ion Thruster; however, little is understood about the complexities of the interactions and interdependencies of the geometrical, magnetic and ion beam properties...
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doaj-1b5ca856f80d4c50b4b6d22a246c0b502020-11-25T01:14:14ZengMDPI AGAerospace2226-43102017-11-01445510.3390/aerospace4040055aerospace4040055High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field ThrusterThomas Fahey0Angus Muffatti1Hideaki Ogawa2School of Engineering, RMIT University, Melbourne, Victoria 3001, AustraliaAerospace Systems Pty Ltd., Prahran, Victoria 3181, AustraliaSchool of Engineering, RMIT University, Melbourne, Victoria 3001, AustraliaThe Cusped Field Thruster (CFT) concept has demonstrated significantly improved performance over the Hall Effect Thruster and the Gridded Ion Thruster; however, little is understood about the complexities of the interactions and interdependencies of the geometrical, magnetic and ion beam properties of the thruster. This study applies an advanced design methodology combining a modified power distribution calculation and evolutionary algorithms assisted by surrogate modeling to a multi-objective design optimization for the performance optimization and characterization of the CFT. Optimization is performed for maximization of performance defined by five design parameters (i.e., anode voltage, anode current, mass flow rate, and magnet radii), simultaneously aiming to maximize three objectives; that is, thrust, efficiency and specific impulse. Statistical methods based on global sensitivity analysis are employed to assess the optimization results in conjunction with surrogate models to identify key design factors with respect to the three design objectives and additional performance measures. The research indicates that the anode current and the Outer Magnet Radius have the greatest effect on the performance parameters. An optimal value for the anode current is determined, and a trend towards maximizing anode potential and mass flow rate is observed.https://www.mdpi.com/2226-4310/4/4/55electric propulsioncusped field thrustermulti-objective design optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thomas Fahey Angus Muffatti Hideaki Ogawa |
spellingShingle |
Thomas Fahey Angus Muffatti Hideaki Ogawa High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster Aerospace electric propulsion cusped field thruster multi-objective design optimization |
author_facet |
Thomas Fahey Angus Muffatti Hideaki Ogawa |
author_sort |
Thomas Fahey |
title |
High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster |
title_short |
High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster |
title_full |
High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster |
title_fullStr |
High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster |
title_full_unstemmed |
High Fidelity Multi-Objective Design Optimization of a Downscaled Cusped Field Thruster |
title_sort |
high fidelity multi-objective design optimization of a downscaled cusped field thruster |
publisher |
MDPI AG |
series |
Aerospace |
issn |
2226-4310 |
publishDate |
2017-11-01 |
description |
The Cusped Field Thruster (CFT) concept has demonstrated significantly improved performance over the Hall Effect Thruster and the Gridded Ion Thruster; however, little is understood about the complexities of the interactions and interdependencies of the geometrical, magnetic and ion beam properties of the thruster. This study applies an advanced design methodology combining a modified power distribution calculation and evolutionary algorithms assisted by surrogate modeling to a multi-objective design optimization for the performance optimization and characterization of the CFT. Optimization is performed for maximization of performance defined by five design parameters (i.e., anode voltage, anode current, mass flow rate, and magnet radii), simultaneously aiming to maximize three objectives; that is, thrust, efficiency and specific impulse. Statistical methods based on global sensitivity analysis are employed to assess the optimization results in conjunction with surrogate models to identify key design factors with respect to the three design objectives and additional performance measures. The research indicates that the anode current and the Outer Magnet Radius have the greatest effect on the performance parameters. An optimal value for the anode current is determined, and a trend towards maximizing anode potential and mass flow rate is observed. |
topic |
electric propulsion cusped field thruster multi-objective design optimization |
url |
https://www.mdpi.com/2226-4310/4/4/55 |
work_keys_str_mv |
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