Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714339
