Title :
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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346700
