Testing fault robustness of model predictive control algorithms

Authors:
Piotr Gawkowski;Konrad Grochowski;Maciej Ławryńczuk;Piotr Marusak;Janusz Sosnowski;Piotr Tatjewski
Affiliations:
Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland;Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland;Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland
Venue:
ISARCS'10 Proceedings of the First international conference on Architecting Critical Systems
Year:
2010

Citing 7
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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.