Abstract
The paper presents the dependability comparison of software implementation of the explicit and numerical Generalized Predictive Control (GPC) Model Predictive Control (MPC) algorithms. The investigated GPC algorithms are implemented for a control system of a multivariable chemical reactor – a process with strong cross-couplings. The fault sensitivity of the proposed implementations is verified in experiments with a software implemented fault injector. Experimental methodology of disturbing the software implementation of control algorithms is presented. The influence of faults on the quality of the controller performance is analysed. Implementations of the considered control algorithms are also compared in terms of their profiles (e.g. resource usage, code size and efficiency).
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This work was supported by a research grant from the Dean of the Faculty of Electronics and Information Technology, Warsaw University of Technology.
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Gawkowski, P., Ławryńczuk, M., Marusak, P., Tatjewski, P., Sosnowski, J. (2010). Dependability Comparison of Explicit and Numerical GPC Algorithms. In: Iskander, M., Kapila, V., Karim, M. (eds) Technological Developments in Education and Automation. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3656-8_76
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DOI: https://doi.org/10.1007/978-90-481-3656-8_76
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