Active diagnosis of hybrid systems - A model predictive approach

Seyed Mojtaba Tabatabaeipour, Anders P. Ravn, Roozbeh Izadi-Zamanabadi, Thomas Bak

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5 Citationer (Scopus)
452 Downloads (Pure)

Abstrakt

A method for active diagnosis of hybrid systems is proposed. The main idea is to predict the future output of both normal and faulty model of the system; then at each time step an optimization problem is solved with the objective of maximizing the difference between the predicted normal and faulty outputs constrained by tolerable performance requirements. As in standard model predictive control, the first element of the optimal input is applied to the system and the whole procedure is repeated until the fault is detected by a passive diagnoser. It is demonstrated how the generated excitation signal can be used as a test signal for sanity check at the commissioning or for detection of faults hidden by regulatory actions of the controller. The method is tested on the two tank benchmark example. ©2009 IEEE.
OriginalsprogEngelsk
TitelIEEE International Conference on Control and Automation
Antal sider5
ForlagIEEE
Publikationsdato2009
Sider465-470
ISBN (Trykt)978-1-4244-4706-0
DOI
StatusUdgivet - 2009
BegivenhedIEEE International Conference on Control and Automation - Christchurch, New Zealand
Varighed: 9 dec. 200911 dec. 2009

Konference

KonferenceIEEE International Conference on Control and Automation
LandNew Zealand
ByChristchurch
Periode09/12/200911/12/2009

Bibliografisk note

Article number 5410420

Citationsformater

Tabatabaeipour, S. M., Ravn, A. P., Izadi-Zamanabadi, R., & Bak, T. (2009). Active diagnosis of hybrid systems - A model predictive approach. I IEEE International Conference on Control and Automation (s. 465-470). IEEE. https://doi.org/10.1109/ICCA.2009.5410420