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Robust Control for AC-Excited Hydrogenerator System Using Adaptive Fuzzy-Neural Network

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

The AC-excited hydrogenerator (ACEH) is a novel type of hydraulic generation system. Concern about its integrative control strategy is increasing, owing to the features of uncertain and nonlinear as well as parameters coupling and time-variation for three parts of water flux, hydroturbine and generator. A cascade-connected self-adaptive fuzzy-neural network control strategy is proposed, which the former controller uses a self-tuning fuzzy algorithm with the intelligent weight function rulers, the latter adopts a self-adaptive neural network controller based on dynamical coupling characteristics of controlled plants. By comparison with traditional PID control, simulation results have shown that this hydrogenerator system appears good robustness against load disturbance and system parameters uncertainty.

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Author information

Authors and Affiliations

  1. The Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Chongqing University, Chongqing, 400044, China

    Hui Li

  2. College of Electrical Engineering, Chongqing University, Chongqing, 400044, China

    Hui Li & Li Han

  3. YangJiaPing Power Bureau, Chongqing Electrical Power Company, 400050, China

    Bei He

Authors
  1. Hui Li
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  2. Li Han
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  3. Bei He
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Li, H., Han, L., He, B. (2006). Robust Control for AC-Excited Hydrogenerator System Using Adaptive Fuzzy-Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_153

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  • DOI: https://doi.org/10.1007/11760023_153

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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