This is the pre-peer reviewed version of the following article: Xu, F., Olaru, S., Puig, V., Ocampo-Martinez, C., and Niculescu, S.-I. (2017) Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation. Int. J. Robust. Nonlinear Control, 27: 1260–1283., which has been published in final form at doi 10.1002/rnc.3627. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."

In this paper, a sensor fault-tolerant control scheme using robust model predictive control (MPC) and set-theoretic fault detection and isolation (FDI) is proposed. The robust MPC controller is used to control the plant in the presence of process disturbances and measurement noises while implementing a mechanism to tolerate faults. In the proposed scheme, fault detection (FD) is passive based on interval observers, while fault isolation (FI) is active by means of MPC and set manipulations. The basic idea is that for a healthy or faulty mode, one can construct the corresponding output set. The size and location of the output set can be manipulated by adjusting the size and center of the set of plant inputs. Furthermore, the inputs can be adjusted on-line by changing the input-constraint set of the MPC controller. In this way, one can design an input set able to separate all output sets corresponding to all considered healthy and faulty modes from each other. Consequently, all the considered healthy and faulty modes can be isolated after detecting a mode changing while preserving feasibility of MPC controller. As a case study, an electric circuit is used to illustrate the effectiveness of the proposed scheme. Copyright © 2016 John Wiley & Sons, Ltd

Peer Reviewed