• DocumentCode
    115723
  • Title

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

  • Author

    Feng Xu ; Olaru, Sorin ; Puig, Vicenc ; Ocampo-Martinez, Carlos ; Niculescu, Silviu-Iulian

  • Author_Institution
    Inst. de Robot. i Inf. Ind. (CSIC-UPC), Tech. Univ. of Catalonia (UPC), Barcelona, Spain
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4953
  • Lastpage
    4958
  • 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.
  • Keywords
    fault diagnosis; fault tolerant control; observers; predictive control; robust control; set theory; state estimation; FD; FDI; FI; FTC scheme; MPC controller; active fault isolation; interval observers; robust MPC; sensor-fault tolerant control; set-based state estimation; set-theoretic fault detection and isolation; Fault tolerance; Observers; Robustness; Steady-state; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040162
  • Filename
    7040162