Abstract
In this paper, a fault tolerant control (FTC) for a dearomatisation process in the presence of faults in online product quality analysers is presented. The FTC consists of a fault detection system (FDI) and a logic for triggering predefined FTC actions. FDI is achieved by combining several process data driven approaches for detecting faults in online quality analysers. The FTC exploits the diagnostic information in adapting a quality controller (MPC) to the faulty situation by manipulating tuning parameters of the MPC to produce both proactive and reactive strategies. The proposed FTC was implemented, tested offline and validated onsite at the Naantali oil refinery. The successful testing and plant validation results are presented and discussed.
Original language | English |
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Pages (from-to) | 1091-1102 |
Journal | Journal of Process Control |
Volume | 19 |
Issue number | 7 |
Publication status | Published - 2009 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Fault tolerant control
- Fault detection
- Data-based modeling
- Online analyser
- Dearomatisation process
- Model predictive control