Publication

Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation

Conference Article

Conference

IEEE Conference on Decision and Control (CDC)

Edition

53rd

Pages

4953-4958

Doc link

http://dx.doi.org/10.1109/CDC.2014.7040162

File

Download the digital copy of the doc pdf document

Authors

Abstract

In this paper, a sensor fault-tolerant control (FTC) scheme using robust model predictive control (MPC) and set theoretic fault detection and isolation (FDI) is proposed. The MPC controller is used to both robustly control the plant and actively guarantee fault isolation (FI). In this scheme, fault detection (FD) is passive by interval observers, while fault isolation (FI) is active by MPC. The advantage of the proposed approach consists in using MPC to actively decouple the effect of sensor faults on the outputs such that one output component only corresponds to one sensor fault in terms of FI, which can utilize the feature of sensor faults for FI. A numerical example is used to illustrate the effectiveness of the proposed scheme.

Categories

control system synthesis, control theory, optimisation.

Author keywords

sensor faults, robust control, MPC, FDI

Scientific reference

F. Xu, S. Olaru, V. Puig, C. Ocampo-Martínez and S. Niculescu. Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation, 53rd IEEE Conference on Decision and Control, 2014, Los Angeles, pp. 4953-4958.