• DocumentCode
    468254
  • Title

    SVM Approximate Based Comprehensive Nonlinear Control Strategy for TCSC and Generator Governor

  • Author

    Li, Yongjun ; Yuan, Xiaofang

  • Author_Institution
    Hunan Univ., Changsha
  • Volume
    2
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    A novel decoupling controller based on support vector machines (SVM) modeling is proposed for thyristor-controlled series compensation (TCSC) and generator governor. The decoupling control law can be derived directly via Taylor expansion and is implemented straightforwardly using SVM modeling. Only general SVM identification technique is involved in both model development and controller design without extra training. The robustness of the stability and the performance of the controller is rigorously established by using Lyapunov method. Simulations demonstrate the effectiveness of the proposed control scheme.
  • Keywords
    Lyapunov methods; autoregressive moving average processes; compensation; control system synthesis; electric generators; identification; machine control; nonlinear control systems; power engineering computing; robust control; support vector machines; thyristor applications; Lyapunov method; NARMA model; SVM identification technique; TCSC; Taylor expansion; comprehensive nonlinear control strategy; controller design; decoupling controller; generator governor; robust control; stability; support vector machines; thyristor-controlled series compensation; Control systems; Educational institutions; Lyapunov method; Neural networks; Power capacitors; Robust control; Robust stability; Support vector machines; Taylor series; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.553
  • Filename
    4406133