Skip to main content
SpringerLink
Log in

SVPWM Overmodulation Region II Control Method Based on the Chaos Ant Colony Algorithm

  • Original Article
  • Published:
Journal of Electrical Engineering & Technology Aims and scope Submit manuscript

Abstract

The control method of space vector pulse width modulation (SVPWM) overmodulation region II has the disadvantages of a complicated process and large harmonic content. To solve these problems, this paper proposes an SVPWM overmodulation region II control method based on the chaos ant colony algorithm. Since the multiple control of the rotation angle (θ) in the SVPWM algorithm will bring about different implementation effects, this paper uses the chaotic ant colony algorithm to optimize the control process of θ in overmodulation region II and summarizes the θ equations in each sector to achieve the goal of suppressing the total harmonic distortion (THD) in the output voltage vector. Simulation and experimental results demonstrate that this method makes the amplitude of the output voltage vector relatively continuous, thereby avoiding the harmonic content caused by the voltage jump of the traditional algorithm in overmodulation region II.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Palanisamy R, Shanmugasundaram V, Vidyasagar S et al (2020) A SVPWM control strategy for capacitor voltage balancing of flying capacitor based 4-level NPC inverter. J Electr Eng Technol 15(6):2639–2649

    Article  Google Scholar 

  2. Vivek G, Biswas J, Nair MD et al (2018) Comparative study on SVPWM switching sequences for VSIs. J Electr Eng Technol 13(1):133–142

    Google Scholar 

  3. Zhao L, Song W, Feng J (2019) A compensation method of dead-time and forward voltage drop for inverter operating at low frequency. J Electr Eng Technol 14(2):781–794

    Article  Google Scholar 

  4. Wang G, Hu H, Ding D et al (2020) Overmodulation strategy for electrolytic capacitorless PMSM drives: voltage distortion analysis and boundary optimization. IEEE Trans Power Electron 35(9):9574–9585

    Article  Google Scholar 

  5. Wu P, Yuan L, Zuo Z et al (2019) Vector weighting approach and vector space decoupling transform in a novel SVPWM algorithm for six-phase voltage source inverter. Math Probl Eng, pp 1–12

  6. Xiao L, Li J, Xiong Y et al (2020) Strategy and Implementation of harmonic reduced synchronized SVPWM for high-power traction machine drives. IEEE Trans Power Electron 35(11):12457–12471

    Article  Google Scholar 

  7. Wang B, Liu K, Hu Y et al (2018) Drive Control of PMSM Considering Nonlinear Modeling Error in Over-modulation Region. In: 1st IEEE Student Conference on Electric Machines and Systems

  8. Zhu Y, Gu W, Lu K et al (2020) Vector Control of Asymmetric Dual ThreePhase PMSM in Full Modulation Range. IEEE Access: 104479- 104493

  9. Fang H, Feng X, Song W et al (2014) Relationship between two-level space-vector pulse-width modulation and carrier-based pulse-width modulation in the over-modulation region. IET Power Electronics 7(1):189–199

    Article  Google Scholar 

  10. Liu Y, Ge X, Pu J et al (2017) Two types of equivalent PWM algorithms in the full modulation region for four-switch three-phase inverter. Trans China Electrotech Soc 32(02):206–215

    Google Scholar 

  11. Piao C, Hung J Y (2015) A novel SVPWM overmodulation technique for three-level NPC VSI. In: IEEE transportation electrification conference and expo (ITEC)

  12. Vasilios I C, Nikolaos M I (2012) A novel SVPWM Overmodulation technique based on voltage correcting function. In: 3rd IEEE international symposium on power electronics for distributed generation systems, pp 682–689

  13. Fan Y, Qu W, Lu H et al (2008) SVPWM over-modulation algorithm based on superposition principle. J Tsinghua Univ (Sci Technol) 48(4):461–464

    Google Scholar 

  14. Li Z, Guo Y, Zhang M et al (2019) Over modulation SVPWM algorithm of three-phase four-switch inverter for balanced output voltages. Electric Mach Control 23(07):53–62

    Google Scholar 

  15. Zhang L, Liu J, Wen X et al (2005) A new SVPWM overmodulation algorithm based on linear output control of fundamental voltage amplitude. Proc CSEE 19:12–18

    Google Scholar 

  16. Venugopal S, Narayanan G (2006) An overmodulation scheme for vector controlled. In: IEEE international conference on power electronic, drives and energy systems, pp 1–6

  17. Lee D (2015) Advanced static over-modulation scheme using offset voltages injection for simple implementation and less harmonics. J Electr Eng Technol 10(1):138–145

    Article  Google Scholar 

  18. Chen J, Ni R, Li T et al (2019) The harmonic characteristic of the advanced synchronous SVPWM over-modulation strategy. IEEE ACCESS 7:148934–148949

    Article  Google Scholar 

  19. Chen Y, Shen T, Yang S et al (2020) A path planning strategy with ant colony algorithm for series connected batteries. Electronics 9(11):1–13

    Google Scholar 

  20. Wu C, Zhou S, Xiao L (2020) Dynamic path planning based on improved ant colony algorithm in traffic congestion. IEEE Access 8:180773–180783

    Article  Google Scholar 

  21. Wang X, Shi H, Zhang C (2020) Path planning for intelligent parking system based on improved ant colony optimization. IEEE Access 8:65267–65273

    Article  Google Scholar 

  22. Zheng J, Lyu M, Li S et al (2020) Common-mode reduction SVPWM for three-phase motor fed by two-level voltage source inverter. Energies 13(15):2–13

    Article  Google Scholar 

  23. Chen M, Zhang A, Chong KT (2018) A novel controller design for three-phase voltage source inverter. Int J Control Autom Syst 16(5):2136–2145

    Article  Google Scholar 

  24. Han G, Zhou Z, Zhang T et al (2020) Ant colony based complete coverage path planning algorithm for underwater gliders in ocean areas with thermoclines. IEEE Trans Veh Technol 69(8):8959–8971

    Article  Google Scholar 

  25. Ou J, Wang M (2019) Path planning for omnidirectional wheeled mobile robot by improved ant colony optimization. In: Proceedings of the 38th chinese control conference

  26. Bolognani S, Zigliotto M (1997) Novel digital continuous control of SVM. IEEE Trans Ind Appl 33(2):525–530

    Article  Google Scholar 

  27. Dai Q, Ge H, Li G (2011) Over-modulation strategy of matrix converter based on multi-orbit vector weighted. Trans China Electrotech Soc 26(04):100–106

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electrical Engineering, Harbin University of Science and Technology, Harbin, China

    Siyan Zhang, Xudong Wang, Junshan Gao, Xiaogang Wu & Jinfeng Liu

Authors
  1. Siyan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xudong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junshan Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaogang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jinfeng Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Siyan Zhang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, S., Wang, X., Gao, J. et al. SVPWM Overmodulation Region II Control Method Based on the Chaos Ant Colony Algorithm. J. Electr. Eng. Technol. 16, 2131–2140 (2021). https://doi.org/10.1007/s42835-021-00764-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42835-021-00764-y

Keywords

Search

Navigation