Sensor fault estimation and tolerant control for Itô stochastic systems with a descriptor sliding mode approach

Authors:
Ming Liu;Peng Shi
Affiliations:
Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 150001, China;Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, CF37 1DL, UK and School of Engineering and Science, Victoria University, Melbourne, Vic. 3000, Australia
Venue:
Automatica (Journal of IFAC)
Year:
2013

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Abstract

This paper investigates the problem of fault estimation and fault-tolerant control against sensor failures for a class of nonlinear Ito stochastic systems with simultaneous input and output disturbances. By using a new descriptor sliding mode approach, an accurate estimation of the system states, fault vector and disturbances can be obtained simultaneously. Based on the state estimates, an integral-type sliding mode control scheme against faults and disturbances is proposed to stabilize the resulting fault system. It is shown that the reachabilities of the proposed sliding mode surfaces can be guaranteed in both the state estimate space and the estimation error space simultaneously under the designed control schemes. Finally, a numerical example is presented to illustrate the effectiveness and applicability of the proposed technique.