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Low complexity model predictive current control for dual three-phase permanent magnet synchronous motor with extended control set and duty cycle modulation

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Abstract

The model predictive current control (MPCC) method is considered to be one of the most effective methods to solve the dual three-phase permanent magnet synchronous motor driving problem. However, the existing traditional MPCC method is limited. In some cases, inaccuracies in the selected optimal voltage vector (Vopt) can lead to additional current ripple and unsatisfactory steady-state performance, and the MPCC method needs to carry out the traversal optimization process, which increases the computational burden. To solve the above problem, this paper proposes an MPCC method based on an extended finite control set and duty cycle modulation. Firstly, 12 virtual voltage vectors (V3s) with new directions are synthesized, and an extended control set containing 24 V3s is constructed to effectively reduce harmonic current and torque ripple. Then, the dead-beat current control is used to calculate the sector of the reference voltage vector (Vref), and the Vopt is selected by judging the position of the sector, which reduces the calculation burden. More importantly, the technique of duty cycle modulation is put forward to calculate the residence time of the Vopt, aiming to amend the Vopt magnitude, which can improve the control accuracy. For ease of understanding and software implementation on Digital Signal Processors, triangular carriers are used to generate asymmetric switching sequences. Finally, the experimental results show that the proposed method has better current quality and lower torque ripple than the two existing methods, and the calculation burden is reduced.

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References

  1. Liu C (2018) Emerging electric machines and drives—an overview. IEEE Trans Energy Convers 33(4):2270–2280

    Article  Google Scholar 

  2. Hu S, Liang Z, Zhang W, He X (2018) Research on the integration of hybrid energy storage system and dual three-phase PMSM drive in EV. IEEE Trans Ind Electron 65(8):6602–6611

    Article  Google Scholar 

  3. Xiao Y, Liu C, Yu F (2019) An integrated on-board EV charger with safe charging operation for three-phase IPM motor. IEEE Trans Ind Electron 66(10):7551–7560

    Article  Google Scholar 

  4. Feng G, Lai C, Kelly M, Kar NC (2019) Dual three-phase PMSM torque modeling and maximum torque per peak current control through optimized harmonic current injection. IEEE Trans Ind Electron 66(5):3356–3368

    Article  Google Scholar 

  5. Huang W, Hua W, Yin F, Yu F, Qi J (2019) Model predictive thrust force control of a linear flux-switching permanent magnet machine with voltage vectors selection and synthesis. IEEE Trans Ind Electron 66(6):4956–4967

    Article  Google Scholar 

  6. Song W, Xue C, Wu X, Yu B (2021) Modulated finite-control-set model predictive current control for five-phase voltage-source inverter. IEEE Trans Transport Electrif 7(2):718–729

    Article  Google Scholar 

  7. Xue C, Song W, Wu X, Feng X (2018) A constant switching frequency finite-control-set predictive current control scheme of a five-phase inverter with duty-ratio optimization. IEEE Trans Power Electron 33(4):3583–3594

    Article  Google Scholar 

  8. Wang W, Liu C, Liu S, Zhao H (2021) Model predictive torque control for dual three-phase PMSMs with simplified deadbeat solution and discrete space-vector modulation. IEEE Trans Energy Convers 36(2):1491–1499

    Article  Google Scholar 

  9. Yu F, Liu X, Zhu Z, Mao J (2021) An improved finite-control-set model predictive flux control for asymmetrical six-phase PMSMs with a novel duty-cycle regulation strategy. IEEE Trans Energy Convers 36(2):1289–1299

    Article  Google Scholar 

  10. Liu S, Liu C (2021) Direct harmonic current control scheme for dual three-phase PMSM drive system. IEEE Trans Power Electron 36(10):11647–11657

    Article  Google Scholar 

  11. Gonzalez-Prieto I, Duran MJ, Aciego JJ, Martin C, Barrero F (2018) Model predictive control of six-phase induction motor drives using virtual voltage vectors. IEEE Trans Ind Electron 65(1):27–37

    Article  Google Scholar 

  12. Zhang Z, Wang Z, Wei X, Liang Z, Kennel R, Rodriguez J (2022) Space-vector-optimized predictive control for dual three-phase PMSM with quick current response. IEEE Trans Power Electron 37(4):4453–4462

    Article  Google Scholar 

  13. Luo Y, Liu C (2019) Multi-vector-based model predictive torque control for a six-phase PMSM motor with fixed switching frequency. IEEE Trans Energy Convers 34(3):1369–1379

    Article  Google Scholar 

  14. Zhang Z, Sun Q, Zhang Q (2024) A computationally efficient model predictive control method for dual three-phase PMSM of electric vehicle with fixed switching frequency. IEEE Trans Ind Appl 60(1):1105–1116

    Article  Google Scholar 

  15. Agoro S, Husain I (2023) Model-free predictive current and disturbance rejection control of dual three-phase PMSM drives using optimal virtual vector modulation. IEEE J Emerg Sel Top Power Electron 11(2):1432–1443

    Article  Google Scholar 

  16. Zhou Z, Xia C, Yan Y, Wang Z, Shi T (2017) Torque ripple minimisation of predictive torque control for PMSM with extended control set. IEEE Trans Ind Electron 64(9):6930–6939

    Article  Google Scholar 

  17. Wang Y et al (2017) Deadbeat model-predictive torque control with discrete space-vector modulation for PMSM drives. IEEE Trans Ind Electron 64(5):3537–3547

    Article  Google Scholar 

  18. Luo Y, Liu C (2018) A simplified model predictive control for a dual three-phase PMSM with reduced harmonic currents. IEEE Trans Ind Electron 65(11):9079–9089

    Article  Google Scholar 

  19. Fan ZH, Wang K (2021) Triple virtual vectors based model predictive current control for dual three phase permanent magnet synchronous motor with low computational complexity. In: 2021 24th international conference on electrical machines and systems (ICEMS), pp 598–602

  20. Cortes P, Rodriguez J, Silva C, Flores A (2012) Delay compensation in model predictive current control of a three-phase inverter. IEEE Trans Ind Electron 59(2):1323–1325

    Article  Google Scholar 

  21. Ren Z, Ji J, Tang H, Tao T, Huang L, Zhao W (2022) Model predictive torque control for a dual three-phase PMSM using modified dual virtual vector modulation method. Chin J Electr Eng 8(4):91–103

    Article  Google Scholar 

  22. Luo Y, Liu C (2019) Elimination of harmonic currents using a reference voltage vector based-model predictive control for a six-phase PMSM motor. IEEE Trans Power Electron 34(7):6960–6972

    Article  Google Scholar 

  23. Yu B, Song W, Guo Y, Li J, Saeed MSR (2021) Virtual voltage vector-based model predictive current control for five-phase VSIs with common-mode voltage reduction. IEEE Trans Transp Electrific 7(2):706–717

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61603263

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  1. Shenyang, China

    Quanzeng Sun & Zhifeng Zhang

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  1. Quanzeng Sun
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  2. Zhifeng Zhang
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S.Q.Z wrote the main manuscript text, Z. Z. F prepared references and reviewed the manuscript.

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Correspondence to Zhifeng Zhang.

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Sun, Q., Zhang, Z. Low complexity model predictive current control for dual three-phase permanent magnet synchronous motor with extended control set and duty cycle modulation. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02433-5

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