Effect of model parameter errors in model predictive control applications

Title: Effect of model parameter errors in model predictive control applications
Creator: Rojas, Diego; Rivera, Marco; Munoz, Javier; Wheeler, Patrick; Zanchetta, Pericle; Mirzaeva, Galina
Relation: 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Co. Proceedings of the 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021 (Valparaíso, Chile 06-09 December, 2021) p. 1-7
Publisher Link: http://dx.doi.org/10.1109/CHILECON54041.2021.9702942
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2021
Description: When implementing predictive control strategies for power electronic converters a good model of the system is needed because this model determines the quality of the resulting controller. In this paper a study of the model parameter error effects in predictive control applications is presented. The results show that by considering a short sampling time, there can be a significant impact if there are variations in the resistance and inductance values.
Subject: model predictive control; parameter error; RMS error; total harmonic distortion (THD); voltage source inverter
Identifier: http://hdl.handle.net/1959.13/1437305
Identifier: uon:40306
Identifier: ISBN:9781665408738
Language: eng
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