Paper Title:
Fuzzy Integrality Design for Maglev Networked Control System with Sensor Data Dropouts
  Abstract

Considering the parameter’s uncertainty of Maglev networked control system, a fuzzy fault-tolerant control method possessing integrity based on T-S model was proposed with sensor data dropouts. When the sensor data of maglev networked system drops out, the state variable sampled at last control period is adopted by the controller. By setting different fault models of sensors and actuators, the fuzzy discrete close-loop model of maglev system was built with system parameter’s uncertainty. A passive integrality control method against sensor and actuator failures was designed with Linear Matrix Inequation (LMI). Simulation results well proved the effectiveness of the algorithm.

  Info
Periodical
Edited by
Ran Chen
Pages
1437-1441
DOI
10.4028/www.scientific.net/AMM.44-47.1437
Citation
Z. Z. Zhang, L. L. Zhang, L. H. She, Z. Q. Long, "Fuzzy Integrality Design for Maglev Networked Control System with Sensor Data Dropouts", Applied Mechanics and Materials, Vols. 44-47, pp. 1437-1441, 2011
Online since
December 2010
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