Wavelet-based adaptive nonlinear power system excitation control

Hassan Yousef, M. Al-Badi, Hisham M. Soliman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper presents a new adaptive excitation control for power system based on wavelet network. An application of wavelet networks to nonlinear excitation control of a power system is presented in this manuscript. A wavelet network is constructed as an alternative to a neural network to approximate a nonlinear system. Based on this wavelet network approximation, suitable adaptive control and appropriate parameter update algorithm are developed to force the nonlinear unknown power system to track a prescribed trajectory with desired dynamic performance. It is shown that the effects of approximation errors can be attenuated to a specific attenuation level using the proposed adaptive wavelet network control scheme. A single machine infinite bus system with uncertain fault location is presented to illustrate the proposed design procedure and exhibit its performance.

Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781479923991
Publication statusPublished - 2014
Event2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey
Duration: Jun 1 2014Jun 4 2014


Other2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014


  • Adaptive control
  • Nonlinear excitation control
  • Wavelet network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering


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