Model Predictive Control based Direct Matrix Converter fed Permanent Magnet Synchronous Machine drives for Traction and Electric Mobility Applications

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B. Balaji
J. D. Anunciya

Abstract

There have been extensive research works going on electric mobility but most of these work and the existing electric mobility systems are battery-based DC systems. In some applications of electric mobility like traction and advanced technologies like electromagnetic induction charging, AC fed systems are employed due to the innate qualities of AC power transmission. Almost all the electric mobility systems we use are AC induction or permanent magnet machines. The conventional electric mobility systems including traction having AC as their energy source use two-stage conversion i.e. A fixed AC is converted to a fixed or variable DC link using a rectifier and finally, an inverter provides a variable AC in terms of frequency and magnitude according to the control algorithm. The two-stage conversion has its pros and cons but Matrix Converter (MC) will be a suitable and efficient alternative for AC fed AC motor drives. In the case of traction and other electric mobility applications, the load torque demand plays a significant role. The predictive control technique provides a suitable solution for these kinds of special drive applications due to their selective parameter control ability. Implementation of predictive control using a matrix converter is more effective than the conventional inverter fed drives, owing to the increased viability of matrix converter switching configurations. This paper discusses the mathematical implementation and comparison of Predictive Current Control (PCC) and Predictive Torque Control (PTC) with and without weighing factor for AC fed electric mobility applications. The efficacy of both the model predictive control techniques in concern of execution time, steady-state, transient, and dynamic conditions are analysed and validated along with the influence of diverse control variables in the cost function.


Keywords: Matrix Converter, Electric Mobility Drive, Direct AC/AC Power Conversion, Finite Control Set – Model Predictive Control, Cost Factor Computation, Predictive Current Control, Predictive Torque Control, Permanent Magnet Synchronous Motor, Speed Control, Torque Ripple and Flux Ripple

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Author Biographies

B. Balaji

ALSTOM Transport India, ITC Green Centre, 18, Dodda Banaswadi Main Rd, Jeevanhalli, Maruthi Sevanagar, Bengaluru, 560005

J. D. Anunciya

Power Electronics, College of Engineering Guindy, 12, Sardar Patel Rd, Anna University, Guindy, Chennai, Tamil Nadu 600025

How to Cite
B. Balaji, & J. D. Anunciya. (2022). Model Predictive Control based Direct Matrix Converter fed Permanent Magnet Synchronous Machine drives for Traction and Electric Mobility Applications. ARAI Journal of Mobility Technology, 2(1), 140–151. https://doi.org/10.37285/ajmt.1.1.8

References

  1. Wheeler P, Rodriguez J, Clare J, et al. Matrix converters: a technology review. IEEE Transactions On Industrial Electronics, 2002, 49(2), 276-288. https://doi.org/10.1109/41.993260.
  2. Empringham L, Kolar J, & Rodriguez J. Technological Issues and Industrial Application of Matrix Converters: A Review. IEEE Transactions on Industrial Electronics, 2013, 60(10), 4260-4271. https://doi.org/10.1109/tie.2012.2216231
  3. Rodriguez J, Rivera M, & Kolar J. A Review of Control and Modulation Methods for Matrix Converters. IEEE Transactions on Industrial Electronics, 2010, 59(1), 58-70. https://doi.org/10.1109/tie.2011.2165310
  4. Sivaprakasam A., &Anunciya J. A Survey on Matrix Converter fed Direct Torque Control Techniques for AC Machines. IETE Journal of Research, 2019, 65(4), 1-17. https://doi.org/10.1080/03772063.2019.1583082
  5. Bernet S, Ponnaluri S, & Teichmann R. Design and loss comparison of matrix converters, and voltage-source converters for modern AC drives. IEEE Transactions on Industrial Electronics, 2002, 49(2), 304-314. https://doi.org/10.1109/41.993263
  6. Fang F, Tian H, & Li Y. Finite Control Set Model Predictive Control for AC–DC Matrix Converter With Virtual Space Vectors. IEEE Journal of Emerging and Selected Topics In Power Electronics, 2021, 9(1), 616-628. https://doi.org/10.1109/jestpe.2019.2937330
  7. Buccella C, Cecati C, & Latafat H. Digital Control of Power Converters—A Survey. IEEE Transactions on Industrial Informatics, 2012, 8(3), 437-447. https://doi.org/10.1109/tii.2012.2192280
  8. Rodriguez J, Kazmierkowski M, Espinoza J, et al. State of the Art of Finite Control Set Model Predictive Control in Power Electronics. IEEE Transactions on Industrial Informatics, 2013, 9(2), 1003-1016. https://doi.org/10.1109/tii.2012.2221469
  9. Bieber L, Pfannschmidt J, Wang L, et al. A Hybrid Three-Level and Modular Multilevel Converter With DC Fault Blocking Capability and Reduced Semiconductor Losses. IEEE Transactions on Power Delivery, 2020, 35(4), 1895-1908. https://doi.org/10.1109/tpwrd.2019.2956723
  10. Vargas R, Ammann U, Hudoffsky B, et al. Predictive Torque Control of an Induction Machine Fed by a Matrix Converter With Reactive Input Power Control. IEEE Transactions on Power Electronics, 2010, 25(6), 1426-1438. https://doi.org/10.1109/tpel.2010.2040839
  11. Dan H, Zeng P, Xiong, W, et al. Model predictive control-based direct torque control for matrix converter-fed induction motor with reduced torque ripple. CES Transactions on Electrical Machines And Systems, 2021, 5(2), 90-99. https://doi.org/10.30941/cestems.2021.00012
  12. Siami M, Amiri M, Savadkoohi H, et al. Simplified Predictive Torque Control for a PMSM Drive Fed by a Matrix Converter with Imposed Input Current. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2018, 6(4), pp.1641-1649. https://doi.org/10.1109/jestpe.2018.2837109
  13. Vargas R, Rodriguez J, & Ammann U. Predictive Current Control of an Induction Machine Fed by a Matrix Converter with Reactive Power Control. IEEE Transactions on Industrial Electronics, 2008, 55(12), 4362-4371. https://doi.org/10.1109/tie.2008.2006947
  14. Rivera M, Rojas C, Rodríguez J, et al. Predictive Current Control With Input Filter Resonance Mitigation for a Direct Matrix Converter. IEEE Transactions on Power Electronics, 2011, 26(10), 2794-2803. https://doi.org/10.1109/tpel.2011.2121920
  15. Siami M, Khaburi D, Rivera M, et al. An Experimental Evaluation of Predictive Current Control and Predictive Torque Control for a PMSM Fed by a Matrix Converter. IEEE Transactions on Industrial Electronics, 2017, 64(11), 8459-8471. https://doi.org/10.1109/tie.2017.2703658
  16. Deng W, Li H, & Rong J. A Novel Direct Torque Control of Matrix Converter-Fed PMSM Drives Using Dynamic Sector Boundary for Common-Mode Voltage Minimization. IEEE Transactions on Industrial Electronics, 2021, 68(1), 70-80. https://doi.org/10.1109/tie.2019.2962408
  17. Siami M, Gholamian S., & Yousefi M. A Comparative Study between Direct Torque Control and Predictive Torque Control for Axial Flux Permanent Magnet Synchronous Machines. Journal of Electrical Engineering, 2013, 64(6), 346-353. https://doi.org/10.2478/jee-2013-0052
  18. Vargas R, Ammann U, Hudoffsky B, et al. Predictive Torque Control of an Induction Machine Fed by a Matrix Converter With Reactive Input Power Control. IEEE Transactions on Power Electronics, 2010, 25(6), 1426-1438. https://doi.org/10.1109/tpel.2010.2040839
  19. Sivaprakasam A. A new approach to reduce torque ripple and noise in 12 sector based direct torque controller fed permanent magnet synchronous motor drive: simulation and experimental results. Noise Control Engineering Journal, 2017, 65(6), 531-548. https://doi.org/10.3397/1/376567
  20. Sivaprakasam A, & Manigandan T. A Novel Method to Minimize Torque Ripple, Mechanical Vibration, and Noise in a Direct Torque Controlled Permanent Magnet Synchronous Motor Drive. The International Journal Of Acoustics And Vibration, 2014, 19(3), 1-9. https://doi.org/10.20855/ijav.2014.19.3351.