Design feasibility of superconducting-hybrid magnetic levitation system for high-speed maglev

2013 ◽  
Author(s):  
Chang-Young Lee
Keyword(s):  
High Speed ◽  
Magnetic Levitation ◽  
Levitation System ◽  
Magnetic Levitation System

scholarly journals LQR state feedback controller with precompensator for magnetic levitation system

2021 ◽  
Vol 2111 (1) ◽  
pp. 012004
Author(s):  
A Winursito ◽  
G N P Pratama
Keyword(s):  
Steady State ◽  
High Speed ◽  
State Feedback ◽  
Magnetic Levitation ◽  
Feedback Controller ◽  
Steel Ball ◽  
State Feedback Controller ◽  
Wide Range ◽  
Levitation System ◽  
Magnetic Levitation System

Abstract Magnetic levitation system (MLS) is a nonlinear system that attracts the attention of many researchers, especially control engineers. It has wide range of application such as robotics, high-speed transportation, and many more. Unfortunately, it is not a simple task to control it. Here, we utilize state feedback controller with Linear-Quadratic Regulator (LQR) to regulate the position of a steel-ball in MLS. In addition, we also introduce the precompensator to nullify the steady-state errors. The linearized model, controller, and precompensator are simulated using Matlab. The results and simulation verify that the state feedback controller and precompensator succeed to stabilize the position of steel-ball at the equilibrium for 0.1766 seconds and no steady-state errors.

Hardware-in-the-loop simulation and implementation of a fuzzy logic controller with FPGA: case study of a magnetic levitation system

2018 ◽  
Vol 41 (8) ◽  
pp. 2150-2159 ◽  
Author(s):  
Onur Akbatı ◽  
Hatice Didem Üzgün ◽  
Sirin Akkaya
Keyword(s):  
Fuzzy Logic ◽  
High Speed ◽  
Fuzzy Logic Controller ◽  
Magnetic Levitation ◽  
Order System ◽  
Membership Functions ◽  
Inference System ◽  
Levitation System ◽  
Magnetic Levitation System

This paper presents the design and implementation of a fuzzy logic controller using Very High Speed Integrated Circuit Hardware Description Language (VHDL) on a field programmable gate array (FPGA). First, a Sugeno-type fuzzy logic controller with five triangular and trapezoidal membership functions for two inputs and with nine singleton membership functions for one output is examined. The proposed structure is tested with second- and third-order system model using FPGA-in-the-loop simulation via a MATLAB/Simulink environment. Then, for different kinds of fuzzy logic controllers, a new look-up table (LUT) and interpolation-based controller implementation is proposed to eliminate the computational complexity of the primarily designed structure. As a case study, a magnetic levitation system is controlled with an adaptive neuro-fuzzy inference system (ANFIS) trained fuzzy logic controller, then it is simulated and implemented using a LUT-based controller. Finally, we provide a comparison of results.

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.

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