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Fuzzy Multiple Reference Models Adaptive Control Scheme Study

  • Zhicheng Ji
  • Rongjia Zhu
  • Yanxia Shen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

Abstract

A new method of fuzzy multiple reference models adaptive control (FMRMAC) for dealing with significant and unpredictable system parameter variations is presented. In this method, a suitable reference model is chosen by parameters estimation and fuzzy rules when changes occurred to the original model parameters. A successful application to the speed servo system of a dynamic model of a Brushless DC motor (BLDCM) shows this method works well with high dynamic performance under the condition of command speed change and load torque disturbance, so the applicability and validity of FMRMAC in pa-rameters variation system accommodation control was proven.

Keywords

Reference Model Fuzzy Rule Load Torque Reference Model Adaptive Control Fuzzy Logic Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhicheng Ji
    • 1
  • Rongjia Zhu
    • 1
  • Yanxia Shen
    • 1
  1. 1.Institute of Electrical Automatic, Control Science and Engineering Research CenterSouthern Yangtze UniversityWuxiChina

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