A New Intelligent Control Strategy of High-Voltage Power Supply for ECRH Based on CMAC Neural Network (original) (raw)

Abstract

Aiming at the nonlinear ness and high performance requirements of high-voltage power supply of ECRH, a new intelligent control strategy is presented based on the concept of inverse model control using Cerebellar Model Articulation Controller (CMAC) neuron network. The experiments results show that this control method can control the power with faster response, much lower overshoot and much shorter settling time than usual way and thus the superiority is proved. This paper may be helpful to solve the difficulty in control of complicated power system with strict requirements and the promotion the application of intelligent control.

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Authors and Affiliations

  1. Key Laboratory of Intelligent System, Zhejiang University City College, Hangzhou, China
    Pengying Du & Xiaoping Luo

Authors

  1. Pengying Du
  2. Xiaoping Luo

Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui,, China
    De-Shuang Huang
  2. School of Computing and Intelligent Systems, University of Ulster at Magee Campus, BT48 7JL, Derry, Northern Ireland, UK
    Martin McGinnity
  3. Laboratoire LITIS, Université de Rouen, 76800, Saint Etienne du Rouvray, France
    Laurent Heutte
  4. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada
    Xiao-Ping Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Du, P., Luo, X. (2010). A New Intelligent Control Strategy of High-Voltage Power Supply for ECRH Based on CMAC Neural Network. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6\_2

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