Optimizing Control Algorithms of the Magnetic Levitation System Based on the State Observer

Author

Wang, Hongpo ; Jie Li ; Zhang, Kun

Author_Institution

Eng. Res. Center of the Maglev, Nat. Univ. of Defense Technol., Changsha

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6508

Lastpage

6512

Abstract

The linear model of the magnetic levitation system was built. The controller of the system was designed based on the optimal control theory. A state observer of the system was formed based on symmetry root locus (SRL) method. The mass of the model was uncertain; when the system was running on to the slope, the strike of the rail to the system can not be neglected. The traditional control algorithms wouldn´t solve these problems effectively. The methods using state observer to optimize the control algorithms was given here. Simulation results show that it work well

Keywords

magnetic levitation; observers; optimal control; railways; root loci; uncertain systems; control optimization; magnetic levitation system; model uncertainty; optimal control; rail strike; simulation; state observer; symmetry root locus; Accelerometers; Control systems; Electronic mail; Intelligent sensors; Magnetic levitation; Magnetic sensors; Optimal control; Optimization methods; Rails; Uncertainty; Rail strike; control optimization; magnetic levitation system; model uncertainty; state observer;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714339

Filename

1714339