Cover
Vol. 12 No. 1 (2016)

Published: June 30, 2016

Pages: 43-53

Original Article

Finite Control Set Model Predictive C urrent Control FCS-MPC B ased on C ost F unction O ptimization, with C urrent L imit C onstraints for F our- L eg VSI

Riyadh G. Omar 1 Rabee' H. Thejel 2
1Department of Electrical Engineering University of Al-Mustansiriyah
2Department of Electrical Engineering University of Basra
History
  • Received: April 30, 2016
  • Available Online: June 30, 2016
DOI

https://doi.org/10.37917/ijeee.12.1.5

Abstract

A Matlab/Simulink model for the Finite Control Set Model Predictive current Control FCS-MPC based on cost function optimization, with current limit constraints for four-leg VSI is presented in this paper, as a new control algorithm. The algorithm selects the switching states that produce minimum error between the reference currents and the predicted currents via optimization process, and apply the corresponding switching control signals to the inverter switches. The new algorithm also implements current constraints which excludes any switching state that produces currents above the desired references. Therefore, the system response is enhanced since there is no overshoots or deviations from references. Comparison is made between the Space Vector Pulse Width Modulation SVPWM and the FCS-MPC control strategies for the same load conditions. The results show the superiority of the new control strategy with observed reduction in inverter output voltage THD by 10% which makes the FCS-MPC strategy more preferable for loads that requires less harmonics distortion.

Keywords

References

  1. J. Rodriguez, and P. Cortes, "Predictive Control of Power Converters And Electrical Drives", a John Wiley & Sons, Ltd. Publication, first edition, 2012, ISBN 978-1-119-96398-1.
  2. A. Almaktoof, A. Raji, and M. Kahn, "Modeling and Simulation of Three-Phase Voltage Source Inverter Using a Model Predictive Current Control", International Journal of Innovation, Management and Technology, vol. 5, no. 1, Feb. 2014.
  3. J. Wang, "Model Predictive Control of Power Electronics Converter", Msc. Thesis, Norwegian University of Science and Technology, pp.17, 2012.
  4. T. Geyer, "Low Complexity Model Predictive Control in Power Electronics and Power Systems", PhD. Thesis, Swiss Federal Institute of Technology, 2005.
  5. S. Kouro, P. Cortés, R. Vargas, U. Ammann, and J. Rodríguez, "Model Predictive Control—A Simple and Powerful Method to Control Power Converters", IEEE Trans. on Industrial Electronics, vol. 56, no. 6, Jun. 2009.
  6. J. Rodríguez, J. Pontt, C. Silva, P. Correa, P. Lezana, P. Cortés, and U. Ammann, "Predictive Current Control of a Voltage Source Inverter ",
  7. M. Rivera, V. Yaramasu, J. Rodriguez, and B. Wu, "Model Predictive Current Control of Two-Level Four-Leg Inverters—Part II: Experimental Implementation and Validation", IEEE Trans. on Power Electronics, vol. 28, no. 7, Jul. 2013.
  8. J. Rodriguez, B. Wu, M. Rivera, C. Rojas, V. Yaramasu, and A. Wilson, "Predictive Current Control of Three-Phase Two-Level FourLeg Inverter", The 14th International Power Electronics and Motion Control Conf. (EPE/PEMC), pp. T3-106 - T3-110, Sept. 2010.
  9. M. Rivera, V. Yaramasu, A. Llor, J. Rodriguez, B.Wu, and M. Fadel, "Digital Predictive Current Control of a Three-Phase Four-Leg 2013.
  10. V. Yaramasu, M. Rivera, M. Narimani, B. Wu, and J. Rodriguez, "Model Predictive Approach for a Simple and Effective Load Voltage Control of Four-Leg Inverter with an Output LC Filter", IEEE Trans. on Industrial Electronics, vol. 61, no. 10, Oct. 2014.
  11. X. Zhang, T. C. Green, and A. Junyent-Ferr´, "A New Resonant Modular Multilevel Step-Down DC–DC Converter with InherentBalancing", IEEE Tans. on Power Electronics, vol. 30, no. 1, Jan. 2015.
  12. Riyadh G. Omar, Rabee' H. Thejel, " Matlab/Simulink Modeling of Four-leg Voltage Source Inverter With Fundamental Inverter output Voltages Vector Observation" Iraqi Journal for Electrical and Electronic Engineering, Vol.11 No.1 , 201 5.