Title :
State estimation and simulation of the magnetic levitation system of a high-speed Maglev train
Author :
Guangwei Shu ; Meisinger, R.
Author_Institution :
Sch. of Electr. & Electron. Eng., Shanghai Inst. of Technol., Shanghai, China
Abstract :
The magnetic levitation system of a high-speed Maglev train is simplified as a single mass system on a rigid guideway. The motion equations of the electromechanical components are derived with LAGRANGE-Function in state space notation. Because of the instability of the magnetic levitation system the vehicle must be actively controlled. The controller is designed by linear quadratic optimal control strategy. A state observer (KALMAN-Filter) is used to estimate the states which can not be measured or are influenced by noise. For the simulation of the control system the MATLAB/Simulink is used. Simulation results for the time histories of the magnet gap and the vertical acceleration are given for a gap initial condition.
Keywords :
Kalman filters; control system synthesis; linear quadratic control; locomotives; magnetic levitation; observers; LAGRANGE-function; MATLAB-Simulink; electromechanical components; high-speed Maglev train; linear quadratic optimal control strategy; magnet gap; magnetic levitation system; rigid guideway; state estimation; state observer; state space notation; vertical acceleration; Acceleration; Equations; Magnetic flux; Magnetic levitation; Mathematical model; Noise measurement; Observers; maglev train; magnetic levitation system; modeling; simulation; state estimation;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023250
