A robustly stabilizing fault‐tolerant MPC: A performance improvement‐based approach
In terms of model predictive control (MPC) performance degradation caused by operational faults, in this article, a robust MPC strategy with active fault tolerance properties is proposed. The proposed strategy incorporates a fault supervision layer into the structure of conventional cost‐contracting...
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| Veröffentlicht in: | Canadian journal of chemical engineering 2024-02, Vol.102 (2), p.803-819 |
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| container_title | Canadian journal of chemical engineering |
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| creator | Santos, Rodrigo Ribeiro Martins, Márcio A. F. Sotomayor, Oscar A. Z. |
| description | In terms of model predictive control (MPC) performance degradation caused by operational faults, in this article, a robust MPC strategy with active fault tolerance properties is proposed. The proposed strategy incorporates a fault supervision layer into the structure of conventional cost‐contracting formulation‐based robust MPC for the online update of the nominal controller model in the event of faults. The robust MPC is based on multiplant uncertainty, while the supervisory layer consists of a bank of unknown input observers and a decision‐making algorithm. Simulation results in a nonlinear polymerization reactor subject to process faults demonstrate that the proposed approach offers superior performance compared to the conventional strategy. |
| doi_str_mv | 10.1002/cjce.25097 |
| format | Article |
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| ispartof | Canadian journal of chemical engineering, 2024-02, Vol.102 (2), p.803-819 |
| issn | 0008-4034 1939-019X |
| language | eng |
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| source | Wiley Journals |
| subjects | active fault‐tolerant control Algorithms control performance improvement fault diagnosis Fault tolerance Faults model predictive control Performance degradation Performance prediction Predictive control robust stability Robustness |
| title | A robustly stabilizing fault‐tolerant MPC: A performance improvement‐based approach |
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