FTC Strategies in Model Predictive Control of a Dearomatisation Process

Sourander, M.; Liikala, T.; Koivisto, K.

doi:10.3182/20060829-4-cn-2909.00048

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recently Jarvinen et al [11] showed that the inherent accommodation properties of model predictive control (MPC) can readily be exploited to implement different types of FTC strategies, providing the necessary FDI information is available. The concept has been elaborated further in Sourander et al [30].…”

Section: Structure Of the Ftcmentioning

confidence: 99%

See 1 more Smart Citation

Fault tolerant control for a dearomatisation process

Sourander¹,

Vermasvuori²,

Sauter³

et al. 2009

Journal of Process Control

Self Cite

View full text Add to dashboard Cite

Author 's accepted manuscript, published in Journal of Process Control 19 (2009) [1091][1092][1093][1094][1095][1096][1097][1098][1099][1100][1101][1102] Fault tolerant control for a dearomatisation process AbstractIn 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.

show abstract

Section: Structure Of the Ftcmentioning

confidence: 99%

“…The FTC strategies tested previously offline (Sourander et al [30,31]) were taken into use at the refinery. In the twelve introduced fault cases, both the FDI and FTC performed as expected, and all the faults were detected.…”

Section: Fault Tolerant Controlmentioning

confidence: 99%

Fault tolerant control for a dearomatisation process

Sourander¹,

Vermasvuori²,

Sauter³

et al. 2009

Journal of Process Control

Self Cite

View full text Add to dashboard Cite

show abstract

FTC based on data driven FDI for a dearomatisation process

Vermasvuori¹,

Sourander

Liikala

et al. 2008

2008 16th Mediterranean Conference on Control and Automation

Self Cite

View full text Add to dashboard Cite

Abstract-In this paper, a fault tolerant control (FTC) system based on data driven fault detection (FDI) is presented. The behaviour of the system with proactive and reactive FTC strategies is studied in the presence of faults in an online product quality analyser with a simulated dearomatisation process operated under model predictive control (MPC). The performance of the system is validated onsite at the Neste Oil Oyj Naantali refinery. It is shown, that the inherent accommodation properties and model information in the studied MPC provide means to realise the proposed types of FTC strategies as confirmed both by simulation and the real process results. It is also shown that similar results are achieved within a simulated and the real process environments.

show abstract

FTC Strategies in Model Predictive Control of a Dearomatisation Process

Cited by 2 publications

References 6 publications

Fault tolerant control for a dearomatisation process

Fault tolerant control for a dearomatisation process

FTC based on data driven FDI for a dearomatisation process

Contact Info

Product

Resources

About