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   Model Reference Adaptive Neuro-Fuzzy Control of Electrical Drives with Stiff or Elastic Joints   [View] 
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 Author(s)   Krzysztof Szabat, Teresa Orlowska-Kowalska 
 Abstract   In the paper a robust control system with fuzzyneural network was proposed. A model reference adaptive control system (MRAC) was applied to the one- and two-mass system. The influence of the number of the neuro-fuzzy controller rules was shown. The dynamical properties of the MRAC system with neuro-fuzzy and classical PI controllers were compared. The control structure with constant and changeable adaptation parameters was examined. The comparison of the dynamical characteristic between the utilized structures of the neuro-fuzzy controllers was done. The torsional vibration suppression in the two-mass system was obtained in the structure with only one feedback from the motor speed. 
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Filename:159
Filesize:396 KB
 Type   Members Only 
 Date   Last modified 2006-02-07 by System