Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic.

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Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Simplified control loop and main components of the HOMB supported rotor system Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Homopolar radial magnetic bearing actuator (a) and the exaggerated coil geometry (b) Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / D magnetic circuit of an 8-pole HOMB Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / FEM rotor model and sensor, magnetic bearing locations marked with circles (a) and the Timoshenko beam element of the rotor model with 6DOF at each node (b) Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Flowchart of multiple objective optimization of HOMB system with NSGA-II code Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Rotor unbalance diagram Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Steady state vibration amplitude obtained in unbalance transient analysis Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Extended core loss map from Carpenter’s catalog Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Pareto frontier of the multi-objective HOMB optimization—3600 rpm: (a) Pareto frontier and (b) top view of the Pareto frontier Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Pareto frontier of multi-objective HOMB optimization—7200 rpm: (a) Pareto frontier and (b) top view of Pareto frontier Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Pareto frontier of the multi-objective HOMB optimization—9000 rpm: (a) Pareto frontier and (b) top view of the Pareto frontier Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Levitation simulation (a) and unbalance transient (b) analysis of point A on the Pareto frontier on Fig. 9 Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Levitation simulation (a) and unbalance transient (b) analysis of point B on the Pareto frontier on Fig. 7. Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Pareto frontier of the multi-objective HOMB optimization with two stage control—3600 rpm: (a) Pareto frontier and (b) top view of the Pareto frontier Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Top views of the Pareto frontiers of the multi-objective HOMB optimization with single controller and two stage control—3600 rpm Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Top views of the Pareto frontiers of the multi-objective HOMB optimization with single controller and two stage control—7200 rpm Figure Legend:

Date of download: 6/27/2016 Copyright © ASME. All rights reserved. From: Magnetic Bearing Rotordynamic System Optimization Using Multi-Objective Genetic Algorithms J. Dyn. Sys., Meas., Control. 2014;137(2): doi: / Top views of the Pareto frontiers of the multi-objective HOMB optimization with single controller and two stage control—9000 rpm Figure Legend: