scholarly journals Interaction between ring-shaped permanent magnets with symbolic gradients: application to magnetic bearing system optimization

2010 ◽  
Author(s):  
B. Delinchant ◽  
F. Wurtz ◽  
J.-P. Yonnet ◽  
J.-L. Coulomb
Keyword(s):  
Permanent Magnets ◽  
System Optimization ◽  
Magnetic Bearing ◽  
Bearing System

scholarly journals Magnetic Losses in Two Types of Magnetic Bearing System Employing Permanent Magnets.

1999 ◽  
Vol 23 (4−2) ◽  
pp. 1605-1608
Author(s):  
T. Ohji ◽  
S. C. Mukhopadhyay ◽  
S. Yamada ◽  
M. Iwahara
Keyword(s):  
Permanent Magnets ◽  
Magnetic Bearing ◽  
Magnetic Losses ◽  
Bearing System

scholarly journals High-Speed Electrical Machine with Active Magnetic Bearing System Optimization

2017 ◽  
Vol 64 (12) ◽  
pp. 9876-9885 ◽  
Author(s):  
Alexander Smirnov ◽  
Nikita Uzhegov ◽  
Teemu Sillanpaa ◽  
Juha Pyrhonen ◽  
Olli Pyrhonen
Keyword(s):  
High Speed ◽  
System Optimization ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Electrical Machine ◽  
Bearing System

A fuzzy logic neural network algorithm for compressor crankshaft-rolling bearing system optimization

2021 ◽  
pp. 1-7
Author(s):  
Zheng Zhang ◽  
Jianrong Zheng
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Dynamic Analysis ◽  
Weighted Average ◽  
Rolling Bearing ◽  
System Optimization ◽  
Simulation Software ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
Bearing System

Taking the crankshaft-rolling bearing system in a certain type of compressor as the research objective, dynamic analysis software is used to conduct detailed dynamic analysis and optimal design under the rated power of the compressor. Using Hertz mathematical formula and the analysis method of the superstatic orientation problem, the relationship expression between the bearing force and deformation of the rolling bearing is solved, and the dynamic analysis model of the elastic crankshaft-rolling bearing system is constructed in the simulation software ADAMS. The weighted average amplitude of the center of the neck between the main bearings is used as the target, and the center line of the compressor cylinder is selected as the design variable. Finally, an example analysis shows that by introducing the fuzzy logic neural network algorithm into the compressor crankshaft-rolling bearing system design, the optimal solution between the design variables and the objective function can be obtained, which is of great significance to the subsequent compressor dynamic design.

scholarly journals Nonlinear Behavior of a Magnetic Bearing System

1995 ◽  
Vol 117 (3) ◽  
pp. 582-588 ◽  
Author(s):  
L. N. Virgin ◽  
T. F. Walsh ◽  
J. D. Knight
Keyword(s):  
Degrees Of Freedom ◽  
Initial Conditions ◽  
Nonlinear Behavior ◽  
Analytical Techniques ◽  
Magnetic Bearing ◽  
Forced Response ◽  
The Mathematical Model ◽  
Two Degree Of Freedom ◽  
Sensitivity To Initial Conditions ◽  
Bearing System

This paper describes the results of a study into the dynamic behavior of a magnetic bearing system. The research focuses attention on the influence of nonlinearities on the forced response of a two-degree-of-freedom rotating mass suspended by magnetic bearings and subject to rotating unbalance and feedback control. Geometric coupling between the degrees of freedom leads to a pair of nonlinear ordinary differential equations, which are then solved using both numerical simulation and approximate analytical techniques. The system exhibits a variety of interesting and somewhat unexpected phenomena including various amplitude driven bifurcational events, sensitivity to initial conditions, and the complete loss of stability associated with the escape from the potential well in which the system can be thought to be oscillating. An approximate criterion to avoid this last possibility is developed based on concepts of limiting the response of the system. The present paper may be considered as an extension to an earlier study by the same authors, which described the practical context of the work, free vibration, control aspects, and derivation of the mathematical model.

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