dc.contributor.author |
Olivier, Laurentz Eugene
|
|
dc.contributor.author |
Craig, Ian Keith
|
|
dc.date.accessioned |
2017-11-08T05:38:08Z |
|
dc.date.issued |
2017-07 |
|
dc.description.abstract |
Fault-tolerant control is important for the autonomous operation of complex processes. When model predictive control is used, fault detection and diagnosis is often based on the available process model used by the controller. Unanticipated faults can however cause misdiagnosis of faults, and consequently incorrect compensation actions. A fault-tolerant model predictive controller is presented in this article and tested on a grinding mill circuit simulator. The fault diagnosis algorithm quickly and accurately detects anticipated faults based on the generalized likelihood ratio test. Unanticipated faults are isolated when the process data do not sufficiently match the most probable anticipated fault data. The scheme is applicable to nonlinear multiple-input multiple-output systems. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2018-07-30 |
|
dc.description.librarian |
hj2017 |
en_ZA |
dc.description.uri |
https://www.journals.elsevier.com/ifac-papersonline |
en_ZA |
dc.identifier.citation |
Olivier, L.E. & Craig, I.K. 2017, 'Model-based fault-tolerant control with robustness to unanticipated faults', IFAC-PapersOnLine, vol. 50, no. 1, pp. 1157-1162. |
en_ZA |
dc.identifier.issn |
1474-6670 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/63064 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2017 IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in IFAC papers online. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in IFAC papers online, vol. 50, no. 1, pp. 1157-1162, 2017. doi : 10.1016/j.ifacol.2017.08.401. |
en_ZA |
dc.subject |
Fault diagnosis |
en_ZA |
dc.subject |
Generalized likelihood ratio |
en_ZA |
dc.subject |
Grinding mill circuit control |
en_ZA |
dc.subject |
Model-based control |
en_ZA |
dc.subject |
Nonlinear control |
en_ZA |
dc.title |
Model-based fault-tolerant control with robustness to unanticipated faults |
en_ZA |
dc.type |
Postprint Article |
en_ZA |