- Title
- A study of cost function selection in model predictive control applications
- Creator
- Rojas, Diego; Rivera, Marco; Wheeler, Patrick; Zanchetta, Pericle; Mirzaeva, Galina; Rohten, Jaime
- Relation
- IEEE ICA/ACCA2021: 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). Proceedings of IEEE ICA/ACCA2021: 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) (Santiago, Chile 22-26 March, 2021)
- Publisher Link
- http://dx.doi.org/10.1109/ICAACCA51523.2021.9465326
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2021
- Description
- The cost function selection is considered one of the most relevant aspects for the implementation of Model Predictive Control strategies. In this paper a study of the most common cost functions used for the control of a two level voltage source inverter is presented. The paper introduces several cost function alternatives that could be considered for different power electronic converter applications to compare the implementation and resulting converter waveforms. The results show that Model Predictive Control is an alternative for the implementation of different control objectives in power electronic converters.
- Subject
- cost function selection; model predictive control; voltage source inverter
- Identifier
- http://hdl.handle.net/1959.13/1436719
- Identifier
- uon:40116
- Identifier
- ISBN:9781665401272
- Language
- spa
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