• DocumentCode
    2547600
  • Title

    Adaptive fuzzy based three-loop composite control of subway auxiliary inverter

  • Author

    Tan, Wen ; Wu, Feng ; Guo, Xiaoding ; Zhou, Lan ; Yang, Zongchang ; Li, Mu ; Jiang, Fengling

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    531
  • Lastpage
    535
  • Abstract
    Aiming at the problem of output waveform distortion and slow dynamic response, an adaptive-fuzzy based on three-loop compound control strategy is investigated for subway auxiliary inverter system with nonlinear loads and loads switch or busbar voltage fluctuation. In the process of control system design, the appropriate fuzzy sets are derived according to actual operation characteristics of the system at first. Then through Matlab/simulink platform, simulation experiments for the combined fuzzy control system are carried out, and the results prove the validity of the designed control algorithm. Finally, the advocated composite controller is applied to a 2.5KVA test prototype, and the experimental results show that the control strategy has significant inhibitory effect on both the nonlinear loads and busbar voltage fluctuation of the inverter system.
  • Keywords
    adaptive control; busbars; control system synthesis; distortion; dynamic response; fuzzy control; fuzzy set theory; invertors; load (electric); rapid transit systems; Matlab-Simulink platform; adaptive fuzzy based three-loop composite control; busbar voltage fluctuation; control system design; fuzzy control system; fuzzy sets; inhibitory effect; load switch; nonlinear loads; output waveform distortion problem; slow dynamic response; subway auxiliary inverter system; three-loop compound control strategy; Adaptive systems; Control systems; Fluctuations; Fuzzy control; Inverters; Niobium; Voltage control; adaptive fuzzy control; inverter; subway; three closed-loop control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234071
  • Filename
    6234071