Simulation of Preisach hysteresis model based on the first-order reversal curves

2017 ◽  
Vol 55 ◽  
pp. 125-133
Author(s):  
Xiaojun Zhao ◽  
Dawei Guan ◽  
Honggang Zhang ◽  
Fan Xiao ◽  
Fanhui Meng
Keyword(s):  
Hysteresis Model ◽  
First Order ◽  
Model Based ◽  
Preisach Hysteresis

A SIMPLE DYNAMIC PREISACH HYSTERESIS MODEL FOR FeSi MATERIALS

2003 ◽  
Vol 17 (11) ◽  
pp. 2325-2331
Author(s):  
M. LU ◽  
P. J. LEONARD ◽  
P. MARKETOS ◽  
T. MEYDAN ◽  
A. J. MOSES
Keyword(s):  
Applied Field ◽  
Hysteresis Loops ◽  
Cosine Function ◽  
Preisach Model ◽  
Common Phenomenon ◽  
Hysteresis Model ◽  
Dynamic Hysteresis ◽  
Model Based ◽  
Hysteresis Operator ◽  
Preisach Hysteresis

Dynamic hysteresis property is a common phenomenon in FeSi materials under time-varied applied field. This paper presented a dynamic hysteresis model based on Preisach scheme. The rectangular-shaped elementary hysteresis operator with two states in classical Preisach model is replaced by a non-rectangular shaped one with multiple states. The output of each state is calculated by a cosine function. The proposed dynamic hysteresis model is experimently tested by comparing the simulated hysteresis loops to experimental ones. The model can be used to describe the dynamic hysteresis in FeSi material for magnetizing frequencies from quasi-static to several hundred Hertz.

scholarly journals An efficient vector Preisach hysteresis model based on a novel rotational operator

2012 ◽  
Vol 111 (7) ◽  
pp. 07D106 ◽  
Author(s):  
Alexander Sutor ◽  
Jan Kallwies ◽  
Reinhard Lerch
Keyword(s):  
Hysteresis Model ◽  
Model Based ◽  
Efficient Vector ◽  
Preisach Hysteresis ◽  
Rotational Operator

An Improved Method of Jiles-Atherton Hysteresis Model Based on Variable Time-Step Simulation

2021 ◽  
Author(s):  
Yinguo Yang ◽  
Liling Xiang ◽  
Yitan Guo ◽  
Zhendong Tan ◽  
Yankan Song
Keyword(s):  
Hysteresis Model ◽  
Improved Method ◽  
Time Step ◽  
Variable Time ◽  
Model Based ◽  
Variable Time Step

A new anisotropic vector hysteresis model based on stop hysterons

2005 ◽  
Vol 41 (5) ◽  
pp. 1500-1503 ◽  
Author(s):  
J.V. Leite ◽  
N. Sadowski ◽  
P. Kuo-Peng ◽  
J.P.A. Bastos
Keyword(s):  
Hysteresis Model ◽  
Model Based

scholarly journals Stabilization of the Magnetic Levitation System

2021 ◽  
Vol 11 (21) ◽  
pp. 10369
Author(s):  
Štefan Chamraz ◽  
Mikuláš Huba ◽  
Katarína Žáková
Keyword(s):  
Closed Loop ◽  
Magnetic Levitation ◽  
Internal Model Control ◽  
Pass Filter ◽  
Low Pass Filter ◽  
First Order ◽  
Model Based ◽  
Model Control ◽  
Levitation System ◽  
Magnetic Levitation System

This paper contributes toward research on the control of the magnetic levitation plant, representing a typical nonlinear unstable system that can be controlled by various methods. This paper shows two various approaches to the solution of the controller design based on different closed loop requirements. Starting from a known unstable linear plant model—the first method is based on the two-step procedure. In the first step, the transfer function of the controlled system is modified to get a stable non-oscillatory system. In the next step, the required first-order dynamic is defined and a model-based PI controller is proposed. The closed loop time constant of this first-order model-based approach can then be used as a tuning parameter. The second set of methods is based on a simplified ultra-local linear approximation of the plant dynamics by the double-integrator plus dead-time (DIPDT) model. Similar to the first method, one possible solution is to stabilize the system by a PD controller combined with a low-pass filter. To eliminate the offset, the stabilized system is supplemented by a simple static feedforward, or by a controller proposed by means of an internal model control (IMC). Another possible approach is to apply for the DIPDT model directly a stabilizing PID controller. The considered solutions are compared to the magnetic levitation system, controlled via the MATLAB/Simulink environment. It is shown that, all three controllers, with integral action, yield much slower dynamics than the stabilizing PD control, which gives one motivation to look for alternative ways of steady-state error compensation, guaranteeing faster setpoint step responses.

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