Model Predictive Control with constant switching frequency using a Discrete Space Vector Modulation with virtual state vectors
By Sergio Vazquez, Jose I. Leon, Leopoldo García Franquelo, J. M. Carrasco, O. Martinez, J. Rodríguez, Patricio Cortes, Samir Kouro. 2009 IEEE International Conference on Industrial Technology, 2009
160 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/f4e2fe1b7d131a75616abd9d7a692858aabe3e99
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- José Raúl Rodríguez Rodríguez
- Leopoldo García Franquelo
- Sergio Vazquez
- Samir Kouro
- Marco E. Rivera
- Bin Wu
- Margarita Norambuena
- Tobias Geyer
In Electrical and Electronic Engineering
- Leopoldo García Franquelo
- José Raúl Rodríguez Rodríguez
- Sergio Vazquez
- Samir Kouro
- Bin Wu
- Jose Ignacio León Galván
- Marco E. Rivera
- Margarita Norambuena
Citations in the corpus
- A Simple Model Predictive Power Control Strategy for Single-Phase PWM Converters With Modulation Function Optimization (2016, methodology): “[5] W. Song, S. Wang, C. Xiong, X. Ge, and X. Feng, “ Single phase threelevel SVPWM algorithm for grid-side railway traction converter and its relationship of carrier-based PWM,” IET Electr.”
- The Essential Role and the Continuous Evolution of Modulation Techniques for Voltage-Source Inverters in the Past, Present, and Future Power Electronics (2016, methodology): “This reduced SVM modulator has been implemented in several recent works achieving good results in the control target tracking [97]–[99].”
- Model Predictive Control for Power Converters and Drives: Advances and Trends (2017, methodology): “A second procedure for OSV-MPC was to maintain (3) as the cost function but to include virtual vectors in the control set [98].”