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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Main Authors: Thomas Fahey, Angus Muffatti, Hideaki Ogawa
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/4/4/55
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spelling 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
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