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Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier

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Advances in Neural Networks – ISNN 2015 (ISNN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9377))

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Abstract

In this brief, a neural dynamic surface control algorithm is proposed for three-phase pulse width modulation voltage source rectifier with the parametric variations. Neural networks are employed to approximate the uncertainties, including the parametric variations and the unknown load-resistance. The actual control laws are derived by using the dynamic surface control method. Furthermore, a linear tracking differentiator is introduced to replace the first-order filter to calculate the derivative of the virtual control law. Thus, the peaking phenomenon of the filter is suppressed during the initial phase. The system stability is analyzed by using the Lyapunov theory. Simulation results are provided to validate the efficacy of the proposed controller.

This work was in part supported by the National Nature Science Foundation of China under Grants 61273137, 51209026, 51579023, and in part by the Scientific Research Fund of Liaoning Provincial Education Department under Grant L2013202, and in part by the Fundamental Research Funds for the Central Universities under Grants 3132015021, 3132014321, and in part by the China Postdoctoral Science Foundation under Grant 2015M570247.

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Authors and Affiliations

  1. School of Marine Engineering, Dalian Maritime University, Dalian, 116026, PR China

    Liang Diao, Dan Wang, Zhouhua Peng & Lei Guo

Authors
  1. Liang Diao
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  2. Dan Wang
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  3. Zhouhua Peng
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  4. Lei Guo
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Corresponding author

Correspondence to Liang Diao .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Xiaolin Hu

  2. Fuzhou University, Fuzhou, China

    Yousheng Xia

  3. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China

    Yunong Zhang

  4. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Dongbin Zhao

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© 2015 Springer International Publishing Switzerland

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Diao, L., Wang, D., Peng, Z., Guo, L. (2015). Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier. In: Hu, X., Xia, Y., Zhang, Y., Zhao, D. (eds) Advances in Neural Networks – ISNN 2015. ISNN 2015. Lecture Notes in Computer Science(), vol 9377. Springer, Cham. https://doi.org/10.1007/978-3-319-25393-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-25393-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25392-3

  • Online ISBN: 978-3-319-25393-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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