Evaluation on thermal loss of superconducting coil caused by levitation control in superconducting-hybrid magnetic levitation system for high-speed Maglev

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.

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Levitation experiment and characterization of 100 mm class gap in a magnetic levitation system using a superconducting coil

The Proceedings of Conference of Kyushu Branch ◽

10.1299/jsmekyushu.2018.71.k15 ◽

2018 ◽

Vol 2018.71 (0) ◽

pp. K15

Author(s):

Shun IMADA ◽

Mochimitsu KOMORI ◽

Kenichi ASAMI ◽

Nobuo SAKAI ◽

Zenzo YUKITAKE

Keyword(s):

Magnetic Levitation ◽

Superconducting Coil ◽

Levitation System ◽

Magnetic Levitation System

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

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331218813425 ◽

2018 ◽

Vol 41 (8) ◽

pp. 2150-2159 ◽

Cited By ~ 2

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.

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