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Design of PID Controller Based on ELM and Its Implementation for Buck Converters

  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

Buck converter is a kind of converter device with high efficiency, wide adjustable output voltage, small loss, small size and light weight. Its circuit has nonlinearity and will exhibit abundant nonlinear phenomena with the change of circuit parameters, resulting in unstable output voltage and being susceptible to load and external disturbances. Therefore, a control method based on Extreme Learning Machine (ELM) combined with a proportionalintegral-derivative (PID) controller is proposed in this paper and used for output voltage control of buck converter. Firstly, the mathematical model of buck converter in Continuous Conduction Mode (CCM) is established by the state space averaging method. Then the PID tuning algorithm is designed in combination with ELM, and the stability analysis of the model is carried out. Finally, the simulation experiment is carried out under different disturbances. By comparing with the open-loop control strategy, the effectiveness of the proposed ELM-PID control strategy is verified, indicating that the proposed method can achieve the stability of output voltage and good dynamic response.

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Authors and Affiliations

  1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China

    Yang Lu, WeiXin Yu, Dan Jiang & RuiQi Li

  2. JunNian Wang is with the School of Physics and Electronics, Hunan University of Science and Technology, Xiangtan, China

    JunNian Wang

Authors
  1. Yang Lu
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  2. WeiXin Yu
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  3. JunNian Wang
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  4. Dan Jiang
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Corresponding author

Correspondence to WeiXin Yu.

Additional information

This work was supported by the China Postdoctoral Science Foundation funded project No.2017M622574. Chinese National Natural Science Foundation No. 61973109, Hunan Provincial Degree and Graduate Education Reform Project No.2020JGYB189.

Yang Lu received his B.E. degree in electrical engineering from Hunan University of Science and Technology, Xiangtan, Hunan, in 2018. He is currently working toward an M.S. degree at Hunan University of Science and Technology, Xiangtan, Hunan. His research interests include intelligent algorithm and faults diagnostic analysis.

WenXin Yu received his B.Sc. degree in applied mathematics from Hebei Normal University, Shijiazhuang, China, in 2005, an M.S. degree in wavelet analysis from Changsha University of Science & Technology, Changsha, in 2008, and a Ph.D. degree in electrical engineering from Hunan University. Changsha, in 2015. He joined the Hunan University of Science and Technology, where he currently is a lecturer in the School of Information and Electrical Engineering. His interests include the research of intelligent control, fault diagnosis, signal processing.

JunNian Wang received his B.Sc. degree in physics from Lanzhou University, Lanzhou, China, in 1991, an M.S. degree in radio physics from Lanzhou University, Lanzhou, in 2000, and a Ph.D. degree in control theory and control engineering from Central South University.Changsha, in 2006. He joined the Hunan University of Science and Technology, where he currently is a professor in the School of Physics and Electronics. His interests include complex systems, intelligent control, and intelligent fault diagnosis.

Dan Jiang received her B.E. degree in electrical engineering from Hunan University of Science and Technology, Xiangtan, Hunan, in 2016. She is currently working toward an M.S. degree at Hunan University of Science and Technology, Xiangtan, Hunan. Her research interest include intelligent algorithm and faults diagnostic analysis.

RuiQi Li received his B.E. degree in electrical engineering from HeiLongJiang University of Science and Technology, Harbin, HeiLongJiang, in 2019. He is currently working toward an M.S. degree at Hunan University of Science and Technology, Xiangtan, Hunan. His research interests include intelligent algorithm and faults diagnostic analysis.

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Lu, Y., Yu, W., Wang, J. et al. Design of PID Controller Based on ELM and Its Implementation for Buck Converters. Int. J. Control Autom. Syst. 19, 2479–2490 (2021). https://doi.org/10.1007/s12555-019-0989-1

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  • DOI: https://doi.org/10.1007/s12555-019-0989-1

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