A Novel Vector-Based Pulse-Width Modulation for Three-Phase Two-Level Voltage Source Inverters

Document Type : Research paper

Authors

Department of Electrical Engineering, Urmia University, Urmia, Iran.‎

Abstract

Abstract- The space vector pulse-width modulation (SVPWM) is a simple and suitable method for voltage control of three-phase two-level voltage source inverters (VSI)s. However, there are plenty of methods to improve the two-level VSIs performance by adding virtual vectors or sub-sectors to the SVPWM diagram which cause complexity in implementation of SVPWM for VSIs similar to multilevel inverters. Operation in overmodulation mode is the other reason for complexity in conventional SVPWM. This paper proposes a novel modulation method, named as level vector pulse-width modulation (LVPWM), for voltage control of VSIs. The concept of the proposed method is similar to SVPWM but with different vector diagram and dwell times calculations. Unlike the SVPWM, the α and β axes and also their variables are considered separately without gathering in complex variables. The vector diagram has two separated α and β axes each of which contains individual switching vectors and reference vectors. The selection of the vectors to synthesize the reference vectors depends on only the amplitudes of the reference vectors. With lower computational overhead and easy and continuous extension to overmodulation region, the proposed method is a simple solution to the mentioned problems. Simulation and experimental results and harmonics analysis verify the effectiveness of the proposed algorithm.

Keywords


  1. Wu, “High-power converters and ac drives”, New Jersey, John Wiley & Sons, 2006.
  2. Nikpayam et al., “Vector control methods for star-connected three-phase induction motor drives under the open-phase failure”, J. Oper. Autom. Power Eng., vol. 10, no. 2, pp. 155-164, 2022.
  3. Dahmardeh, M. Ghanbari and S. M. Rakhtala, “A novel combined DTC method and SFOC system for three-phase induction machine drives with PWM switching method”, J. Oper. Autom. Power Eng., 2022.
  4. Osman et al., “Discrete space vector modulation based model predictive torque control with no sub optimization”, IEEE Trans. Ind. Electron., vol. 67, no. 10, pp. 8164-74, 2019.
  5. Suresh, and P. P. Rajeevan, “Virtual space vector based direct torque control schemes for induction motor drives”, IEEE Trans. Ind. Appl., vol. 56, no. 3, pp. 2719-2728, 2020.
  6. Wang et al., “Deadbeat model predictive torque control with discrete space vector modulation for PMSM drives”, IEEE Trans. Ind. Electron., vol. 64, no. 5, pp. 3537-3547, 2017.
  7. Li et al., “Modified synchronized SVPWM strategies to reduce common-mode voltage for three phase voltage source inverters at low switching frequency”, IEEE Trans. Ind. Appl., vol. 56, no. 5, pp. 5245-5256, 2020.
  8. Sandeep, S. Ashok, and R. Ramchand, “Current error space vector based hysteresis controller for VSI fed PMSM drive”, IEEE Trans. Power Electron., vol. 35, no. 10, pp. 10690-99, 2020.
  9. Peter et al., “Online boundary computation using sampled voltage reference for bus clamping PWM based hysteresis controlled VSI fed IM drive”, IEEE Trans. Power Electron., vol. 35, no. 4, pp. 3939-50, 2019.
  10. Ganesan, S. Suresh and, S. S. Sivaraju, “ANFIS based multi-sector space vector PWM scheme for sensorless BLDC motor drive”, Microproc. Microsyst., vol. 76, pp. 1-9, 2020.
  11. Shu et al., “An efficient SVPWM algorithm with low computational overhead for three-phase inverters”, IEEE Trans. Power Electron., vol. 22, pp. 1797-1805, 2007.
  12. D. Pablo et al., “A simpler and faster method for SVPWM implementation”, 2007 Europ. Conf. Power Electron. Appl., 2007.
  13. Vivek, and J. Biswas, “Study on hybrid SVPWM sequences for two level VSIs”, 2017 IEEE Int. Conf. Ind. Tech., 2017.
  14. A. Hannan et al., “A Random forest regression based space vector PWM inverter controller for the induction motor drive”, IEEE Trans. Ind. Electron., vol. 64, no. 4, pp. 2689 - 2699, 2017.
  15. S. Wankhede and M. V. Aware, “A novel space vector modulation technique for two level inverter using image processing”, 2017 Int. Conf. Energy, Commun., Data Analytic. Soft Comput., 2017.
  16. Stumpf, and S. Halasz, “optimization of PWM for overmodulation region of two-level inverters”, IEEE Trans. Ind. Appl., vol. 54, no. 4, pp. 3393-3404, 2018.
  17. Guo, M. He, Y. Yang, “Over modulation strategy of power converters: A review”, IEEE Access, vol. 6, pp. 69528-44, 2015.
  18. Park, S. Sul, and K. Hong, “Linear over-modulation strategy for current control in photovoltaic inverter”, IEEE Trans. Ind. Appl., vol. 52, pp. 322-331, 2015.
  19. Lee et al., “Sector based analytic overmodulation method”, IEEE Trans. Ind. Electron., vol. 66, no. 10, pp. 7624-32, 2019.
  20. Jiang et al., “A fast model predictive control with fixed switching frequency based on virtual space vector for three-phase inverters”, 2018 IEEE Int. Power Electron. Appl. Conf. Expos., 2018.
  21. Guo et al., “Hybrid voltage vector preselection-based model predictive control for two-level voltage source inverters to reduce the common-mode voltage”, IEEE Trans. Ind. Electron., vol. 67, pp. 4680-91, 2020.