This article addresses the robust (in the disturbance decoupling sense) design problem of fault detection (FD) filters for uncertain multi-input-multi-output (MIMO) sampled-data systems with fixed-point quantisation. The only available signal is the output variable. A design technique for a deterministic FD observer coupled with a stabilising controller is proposed such that ultimate boundedness (asymptotic vanishing if quantisation is absent) of closed-loop trajectories and estimation error is guaranteed, robustly with respect to disturbances affecting the continuous-time system. A test-function is proposed for detecting the occurrence of actuator faults in the plant. A simulation study on a vehicle suspension system is also reported.
Design of robust fault detection filters for MIMO uncertain plants with quantized information / Corradini, M. L.; Cristofaro, A.; Giambò, R.; Pettinari, S. - In: INTERNATIONAL JOURNAL OF CONTROL. - ISSN 0020-7179. - 85:3(2012), pp. 239-250. [10.1080/00207179.2011.642818]
Design of robust fault detection filters for MIMO uncertain plants with quantized information
Cristofaro A.;
2012
Abstract
This article addresses the robust (in the disturbance decoupling sense) design problem of fault detection (FD) filters for uncertain multi-input-multi-output (MIMO) sampled-data systems with fixed-point quantisation. The only available signal is the output variable. A design technique for a deterministic FD observer coupled with a stabilising controller is proposed such that ultimate boundedness (asymptotic vanishing if quantisation is absent) of closed-loop trajectories and estimation error is guaranteed, robustly with respect to disturbances affecting the continuous-time system. A test-function is proposed for detecting the occurrence of actuator faults in the plant. A simulation study on a vehicle suspension system is also reported.File | Dimensione | Formato | |
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