Networked predictive control of magnetic levitation system

Author

Wang, Bo ; Liu, Guo-Ping ; Rees, David

Author_Institution

Sch. of Eng., Univ. of Warwick, Coventry, UK

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

4100

Lastpage

4105

Abstract

This paper discusses the control of a magnetic levitation (MagLev) system over networks. In order to improve the control performance, the networked predictive control method is employed based on the feedback linearization and direct local linearization models of the nonlinear MagLev system. Further a test-rig is set up to implement the above control. Simulation and experiment results show that the networked predictive control has clear performance advantages over other networked control strategies which do not incorporate compensation for the network-induced delay.

Keywords

magnetic levitation; nonlinear systems; predictive control; direct local linearization model; feedback linearization; magnetic levitation system; network-induced delay; networked predictive control; nonlinear MagLev system; Control systems; Linear feedback control systems; Magnetic levitation; Magnetic sensors; Nonlinear control systems; Open loop systems; Predictive control; Predictive models; Sampling methods; Sliding mode control; Feedback linearization; Magnetic levitation system; NetCon embedded system; Networked predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346700

Filename

5346700