Have a personal or library account? Click to login
Robust Mpc for Actuator–Fault Tolerance Using Set–Based Passive Fault Detection and Active Fault Isolation Cover

Robust Mpc for Actuator–Fault Tolerance Using Set–Based Passive Fault Detection and Active Fault Isolation

Open Access
|May 2017

Abstract

In this paper, a fault-tolerant control (FTC) scheme is proposed for actuator faults, which is built upon tube-based model predictive control (MPC) as well as set-based fault detection and isolation (FDI). In the class of MPC techniques, tubebased MPC can effectively deal with system constraints and uncertainties with relatively low computational complexity compared with other robust MPC techniques such as min-max MPC. Set-based FDI, generally considering the worst case of uncertainties, can robustly detect and isolate actuator faults. In the proposed FTC scheme, fault detection (FD) is passive by using invariant sets, while fault isolation (FI) is active by means of MPC and tubes. The active FI method proposed in this paper is implemented by making use of the constraint-handling ability of MPC to manipulate the bounds of inputs.

After the system has been detected to become faulty, the input-constraint set of the MPC controller is adjusted to actively excite the system for achieving FI guarantees on-line, where an active FI-oriented input set is designed off-line. In this way, the system can be excited in order to obtain more extra system-operating information for FI than passive FI approaches.

Overall, the objective of this paper is to propose an actuator MPC scheme with as little as possible of FI conservatism and computational complexity by combining tube-based MPC and set theory within the framework of MPC, respectively.

Finally, a case study is used to show the effectiveness of the proposed FTC scheme.

DOI: https://doi.org/10.1515/amcs-2017-0004 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 43 - 61
Submitted on: May 4, 2015
|
Accepted on: Sep 20, 2016
|
Published on: May 4, 2017
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Feng Xu, Vicenç Puig, Carlos Ocampo-Martinez, Sorin Olaru, Silviu-Iulian Niculescu, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.