Electromechanical stiffness and damping coefficients in the repulsive magnetic levitation system

1976 ◽  
Vol 95 (3) ◽  
pp. 936-943 ◽  
Author(s):  
Boon-Teck Ooi
Keyword(s):  
Magnetic Levitation ◽  
Damping Coefficients ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Stiffness And Damping

Characterization and Optimization of Berdut Technology for a Magnetically Levitated Train

2005 ◽  
Author(s):  
Ezequiel Medici ◽  
David Serrano ◽  
Jeffrey Robles
Keyword(s):  
High Speed ◽  
Permanent Magnets ◽  
Magnetic Levitation ◽  
Linear Motor ◽  
High Speed Train ◽  
Damping Characteristics ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Working Principle ◽  
Stiffness And Damping

Berdut Technology is a novel magnetic levitation system suitable for high speed train applications. This technology combines magnets and electromagnets to obtain levitation and propulsion. A Berdut array of permanent magnets is used to provide the levitation via skates that are located on both sides of the vehicle. Both the rails and the skates are based on permanent magnets therefore no energy is required for levitation. A linear motor located along the center of the vehicle provides the propulsion. Both, skate and linear motor use the same concept and working principle. The paper is divided into two parts: the first part describes the skate levitation, while the second part describes the linear motor. Finite element method was chosen to model and simulate both the skate levitation and the linear motor. Energy dissipation resulting from hysteresis and eddy current losses in the skate was determined. Stiffness and damping characteristics for the levitation skates are presented and validated. The efficiency and thrust force for the linear motor model are also presented along with experiments performed to validate the simulations. Once, validated the models are used to design a Maglev suspension and a linear motor for high-speed train applications.

scholarly journals Movement Control Method of Magnetic Levitation System Using Eccentricity of Non-Contact Position Sensor

2021 ◽  
Vol 11 (5) ◽  
pp. 2396
Author(s):  
Jong Suk Lim ◽  
Hyung-Woo Lee
Keyword(s):  
Motor System ◽  
Control Method ◽  
Magnetic Levitation ◽  
Movement Control ◽  
Position Sensor ◽  
Semiconductor Wafer ◽  
Control Command ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Contact Position

This paper presents a method of utilizing a non-contact position sensor for the tilting and movement control of a rotor in a rotary magnetic levitation motor system. This system has been studied with the aim of having a relatively simple and highly clean alternative application compared to the spin coater used in the photoresist coating process in the semiconductor wafer process. To eliminate system wear and dust problems, a shaft-and-bearing-free magnetic levitation motor system was designed and a minimal non-contact position sensor was placed. An algorithm capable of preventing derailment and precise movement control by applying only control without additional mechanical devices to this magnetic levitation system was proposed. The proposed algorithm was verified through simulations and experiments, and the validity of the algorithm was verified by deriving a precision control result suitable for the movement control command in units of 0.1 mm at 50 rpm rotation drive.

scholarly journals Experiments with Neural Networks in the Identification and Control of a Magnetic Levitation System Using a Low-Cost Platform

2021 ◽  
Vol 11 (6) ◽  
pp. 2535
Author(s):  
Bruno E. Silva ◽  
Ramiro S. Barbosa
Keyword(s):  
Neural Networks ◽  
Neural Control ◽  
Magnetic Levitation ◽  
Low Cost ◽  
Training Data ◽  
Neural Controllers ◽  
Levitation System ◽  
Internal Model Controller ◽  
Magnetic Levitation System ◽  
And Performance

In this article, we designed and implemented neural controllers to control a nonlinear and unstable magnetic levitation system composed of an electromagnet and a magnetic disk. The objective was to evaluate the implementation and performance of neural control algorithms in a low-cost hardware. In a first phase, we designed two classical controllers with the objective to provide the training data for the neural controllers. After, we identified several neural models of the levitation system using Nonlinear AutoRegressive eXogenous (NARX)-type neural networks that were used to emulate the forward dynamics of the system. Finally, we designed and implemented three neural control structures: the inverse controller, the internal model controller, and the model reference controller for the control of the levitation system. The neural controllers were tested on a low-cost Arduino control platform through MATLAB/Simulink. The experimental results proved the good performance of the neural controllers.

scholarly journals Semi-Active Magnetic Levitation System for Education

2021 ◽  
Vol 11 (12) ◽  
pp. 5330
Author(s):  
Gisela Pujol-Vázquez ◽  
Alessandro N. Vargas ◽  
Saleh Mobayen ◽  
Leonardo Acho
Keyword(s):  
Pid Control ◽  
Magnetic Levitation ◽  
Low Cost ◽  
Control Scheme ◽  
Hands On ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
And Control ◽  
Active Control Strategy ◽  
Cost Components

This paper describes how to construct a low-cost magnetic levitation system (MagLev). The MagLev has been intensively used in engineering education, allowing instructors and students to learn through hands-on experiences of essential concepts, such as electronics, electromagnetism, and control systems. Built from scratch, the MagLev depends only on simple, low-cost components readily available on the market. In addition to showing how to construct the MagLev, this paper presents a semi-active control strategy that seems novel when applied to the MagLev. Experiments performed in the laboratory provide comparisons of the proposed control scheme with the classical PID control. The corresponding real-time experiments illustrate both the effectiveness of the approach and the potential of the MagLev for education.

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