Title
Testing fault robustness of model predictive control algorithms
Abstract
The paper deals with the problem of evaluating fault robustness of the software implemented Dynamic Matrix Control (DMC) Model Predictive Control (MPC) algorithms. Numerical and explicit implementations of the DMC algorithms are considered. It is shown that faults affecting the algorithms can provoke undesirable behaviour or even destabilize the process. Dependability was evaluated experimentally using two different software implemented fault injection approaches, the old one (FITS) and a new one (InBochs). FITS was not sufficient in case of the numerical DMC implementation. InBochs is based on the system emulator and delivers the same level of functionality as FITS while having capability to extend fault models.
Year
DOI
Venue
2010
10.1007/978-3-642-13556-9_7
ISARCS
Keywords
Field
DocType
different software,fault injection approach,numerical dmc implementation,dynamic matrix control,paper deal,dmc algorithm,explicit implementation,model predictive control,fault robustness,model predictive control algorithm,fault model,testing fault robustness,process control
Stuck-at fault,Dependability,Model predictive control,Algorithm,Robustness (computer science),Software,Process control,Engineering,Control reconfiguration,Fault injection
Conference
Volume
ISSN
ISBN
6150
0302-9743
3-642-13555-2
Citations 
PageRank 
References 
1
0.37
9
Authors
6
Name
Order
Citations
PageRank
Gawkowski, P.17412.25
Konrad Grochowski271.99
Maciej Ławryńczuk38216.91
Piotr M. Marusak45712.07
Janusz Sosnowski513425.30
Piotr Tatjewski67813.07