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• [P917] Networked Predictive Control of Magnetic Levitation System
  Author(s): Bo Wang, Guo-Ping Liu, David Rees
  
  

  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 networked predictive control has a clear performance advantage over other networked control strategies which do not incorporate compensation for the network-induced delay.

  
   

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