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Research of Current Control Strategy of Hybrid Active Power Filter Based on Fuzzy Recursive Integral PI Control Algorithm

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Artificial Intelligence and Computational Intelligence (AICI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5855))

Abstract

According to the current control characters of hybrid active power filter (HAPF), the current control model of HAPF is designed. The fuzzy recursive integral PI control algorithm is presented when it is compared to conventional PI control method. The control algorithm is applied to auto-regulate the proportional and integral parameters of PI. Thus, the robustness and response speed is enhanced; the dynamic performance of the HAPF device is improved. Under Matlab/Simulink background, a fuzzy recursive integral PI controller is designed and it is applied in a HAPF model in PSCAD/EMTDC. The results prove the feasibility and effectiveness of this fuzzy recursive integral PI control algorithm.

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Author information

Authors and Affiliations

  1. School of Computer and information Engineering, Shanghai University of Electric Power, Shanghai, 200090, China

    Zhong Tang & Daifa Liao

Authors
  1. Zhong Tang
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  2. Daifa Liao
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. College of Metrological Technology and Engineering, China Jiliang University, 310018, Hangzhou, Zhejiang Province, China

    Lanzhou Wang

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Fu Lee Wang

  4. College of Information Science and Technology, Hainan University, 570228, Haikou, China

    Jingsheng Lei

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© 2009 Springer-Verlag Berlin Heidelberg

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Tang, Z., Liao, D. (2009). Research of Current Control Strategy of Hybrid Active Power Filter Based on Fuzzy Recursive Integral PI Control Algorithm. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_63

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  • DOI: https://doi.org/10.1007/978-3-642-05253-8_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05252-1

  • Online ISBN: 978-3-642-05253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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