Skip to main content
Springer Nature Link
Log in

Influence of Inductance Parameters on Intelligent Control of Buck Converter

  • Conference paper
  • First Online:
Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1088))

  • 114 Accesses

Abstract

Voltage-controlled step-down converter is the core unit of the control system, which is composed of capacitors, inductors and other components, showing non-linear characteristics. With the rapid development of artificial intelligence, the requirement for the performance of the converter becomes higher and higher. The bifurcation characteristics and chaotic behavior of the system are verified by building Simulink model. The output characteristics of the system with inductance as a parameter are revealed. The change of the intersection point between the reference voltage waveform and the output voltage waveform is analyzed in the time domain. The evolution process of the system from steady state to periodic state to chaotic state is observed in the phase diagram, which verifies the rationality and feasibility of the research method in this paper, and provides theoretical basis and reference value for the research methods and control strategies of other types of switching converters.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. He, L., Z. Zheng, and D. Guo. 2018. High step-up DC-DC converter with active soft-switching and voltage-clamping for renewable energy systems. IEEE Transactions on Power Electronics 33 (11): 1–1.

    Article  Google Scholar 

  2. Kajiwara, K., H. Maruta, Y. Shibata, et al. 2018. Stability characteristics of digital peak current control DC-DC converter under input voltage fluctuation. IEEE International Conference on Renewable Energy Research & Applications. IEEE 46 (2): 149–161.

    Google Scholar 

  3. Mahanta, Chitralekha Nizami, and Tousif Khan. 2016. An intelligent adaptive control of DC-DC buck converters. Journal of the Franklin Institute 353 (12): 2588–2613.

    Article  MathSciNet  Google Scholar 

  4. Yu, Lei, Jae Gyoung Lim, and Shumin Fei. 2017. An improved single neuron self-adaptive PID control scheme of superheated steam temperature control system. International Journal of System Control and Information Processing 2 (1): 1–13.

    Article  Google Scholar 

  5. Liu, H., Y.Z. Li, Y.X. Zhang, Y.F. Chen, Z.H. Song, Z.Y. Wang, S.X. Zhang, and J.Q. Qian. 2018. Intelligent Tuning Method of PID Parameters Based on Iterative Learning Control for Atomic Force Microscopy 10 (4): 26–36.

    Google Scholar 

  6. Wang, Q., K. Liu, and J. Feng. 2018. Scheme based on buck-converter with three-phase H-bridge combinations for high-speed BLDC motors in aerospace applications. IET Electric Power Applications. 12 (3): 405–414.

    Article  Google Scholar 

  7. Ookar Abubakkar, Sheik Fareed, Nor Farahidah Zabah, Yusof Abdullah, Dhiyauddin Ahmad Fauzi, Norasmahan Muridan, and Nurul Fadzlin Hasbullah. 2017. Effects of electron radiation on commercial power MOSFET with buck converter application. International Islamic University Malaysia 28 (2): 27–31.

    Google Scholar 

  8. Bendaoud, Kaoutar, Salah-ddine Krit, Jalal Laassiri, and Lahoucine El Maimouni. 2017. Modelling and simulation DC-DC power converter buck for mobile applications using MATLAB/Simulink. International Journal of Intelligent Enterprise 4 (1–2): 76–87.

    Article  Google Scholar 

  9. Abdissa, Chala Merga, and Kil To Chong. 2017. Stabilization and voltage regulation of the Buck DC-DC converter using model predictive of laguerre functions. Studies in Informatics and Control 26 (3): 315–324.

    Article  Google Scholar 

  10. Cen, Zhaohui, and Paul, Stewart. 2017. Condition parameter estimation for photovoltaic buck converters based on adaptive model observers. IEEE Transactions on Reliability 66 (1): 148–160.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Engineering, Yanbian University, Yanji, China

    Yutong Li, Nuo Zhou & Hongmei Xu

Authors
  1. Yutong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nuo Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hongmei Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hongmei Xu .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Chuanchao Huang

  2. Computer Science and Information Management, Providence University, Taichung, Taiwan

    Yu-Wei Chan

  3. University of Aizu, Fukushima, Japan

    Neil Yen

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, Y., Zhou, N., Xu, H. (2020). Influence of Inductance Parameters on Intelligent Control of Buck Converter. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_128

Download citation

Publish with us

Policies and ethics