Fuzzy Integrality Design for Maglev Networked Control System with Sensor Data Dropouts

Abstract:

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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 et al., "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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$35.00

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